CN104463498B - The method and device of statistical service index - Google Patents
The method and device of statistical service index Download PDFInfo
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- CN104463498B CN104463498B CN201410822017.5A CN201410822017A CN104463498B CN 104463498 B CN104463498 B CN 104463498B CN 201410822017 A CN201410822017 A CN 201410822017A CN 104463498 B CN104463498 B CN 104463498B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
Abstract
The disclosure is directed to a kind of method and device of statistical service index, is related to communication and computer realm, for realizing more accurately statistical service index.Methods described includes：Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes the statistical result repeatedly counted；According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；According to standard deviation corresponding to end side and network side difference, the weight according to corresponding to end side and/or network side is adjusted；According to statistical result and weight corresponding to end side and network side difference, statistical result final corresponding to the same item operational indicator is obtained.The data of the present embodiment combination end side and network side both sides are counted, and weight can dynamic change so that final statistical result is more accurate.
Description
Technical field
This disclosure relates to communicate and computer disposal field, more particularly to the method and device of statistical service index.
Background technology
With the development of Internet technology, online has turned into a part for people's daily life.People can pass through network
Magnanimity information is quickly obtained, it is not limited by regions.For service provider, while the service of offer, it is also necessary to
The statistics of miscellaneous service index is carried out, to be improved to the service of offer.
The inventor of the disclosure has found that in correlation technique, terminal and network side can record to the behavior of user, will
Record result is saved in daily record as the operational indicator of correlation.Service provider refers to end when counting network service index
The daily record reported is held, the daily record of local record can also be referred to.Service provider is generally only with reference to the daily record of side, it is believed that terminal
It is independent of each other, or weak related between the daily record of network side.Industry will not be counted with reference to the daily record of both sides
Business index.Cause statistical result inaccurate.Therefore, how more accurately statistical service index, be urgent problem to be solved.
The content of the invention
To overcome problem present in correlation technique, the disclosure provides a kind of method and device of statistical service index.
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of statistical service refers to calibration method, including：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes more
The statistical result of secondary statistics；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, the power according to corresponding to end side and/or network side is adjusted
Weight；
According to statistical result and weight corresponding to end side and network side difference, it is corresponding to obtain the same item operational indicator
Final statistical result.
The technical scheme provided by this disclosed embodiment can include the following benefits：The present embodiment combination end side and
The statistical result of network side both sides is counted, and the statistic processes is not simply to be averaging, but according to the mark of calculating
Quasi- difference is adjusted to weight, then seeks weighted average.Weight after being adjusted can make statistical result more accurate, and should
Weight can be more conducive to statistical accuracy with statistical conditions dynamic change.
In one embodiment, methods described also includes：
According to end side and the statistical result of network side, average value corresponding to difference computing terminal side and network side；
Statistical result and the weight according to corresponding to end side and network side difference, obtains the same item operational indicator
Corresponding final statistical result, including：
According to average value and weight corresponding to end side and network side difference, obtain corresponding to the same item operational indicator
Final statistical result.
The technical scheme provided by this disclosed embodiment can include the following benefits：The present embodiment is being counted
When, it can further improve statistical accuracy according to average value.
In one embodiment, the standard deviation according to corresponding to end side and network side difference, is adjusted according to end side
And/or weight corresponding to network side, including：
End side and network side are directed to respectively, and interval estimation is done to standard deviation, determines confidential interval；
By the width of the confidential interval of end side compared with the width of the confidential interval of network side；
Heighten weight corresponding to the less side of width of confidential interval in end side and network side.
The technical scheme provided by this disclosed embodiment can include the following benefits：The present embodiment passes through interval estimation
Mode can determine that statistical result compares and concentrate and stable side that the confidence level of the statistical result of the side is higher, so carrying
Weight corresponding to the high side, can further improve the accuracy rate of statistics.
In one embodiment, the standard deviation according to corresponding to end side and network side difference, is adjusted according to end side
And/or weight corresponding to network side, in addition to：
When the width of the confidential interval of end side is identical with the width of the confidential interval of network side, by being averaged for end side
Value is compared with the average value of network side；
Heighten weight corresponding to the side that average value is larger in end side and network side.
The technical scheme provided by this disclosed embodiment can include the following benefits：In the present embodiment, put in basis
When letter section can not determine to improve the weight of which side, it can be determined by average value, the big side statistics ripple of average value
Dynamic smaller, statistical result is more stable.So weight corresponding to improving the side, can further improve the accuracy rate of statistics.
In one embodiment, the statistics knot for obtaining end side and network side and being directed to same item operational indicator respectively
Fruit, including：
Travel through the statistical result of end side and the statistical result of network side；
The statistical result of same item operational indicator is filtered out from the statistical result of end side and the statistical result of network side.
The technical scheme provided by this disclosed embodiment can include the following benefits：The present embodiment can by traversal and
The mode of screening obtains end side and network side is directed to the statistical result of same item operational indicator, utilizes the statistical result phase of both sides
Mutually confirmation so that statistical result is more accurate.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of device of statistical service index, including：
Acquisition module, it is directed to the statistical result of same item operational indicator respectively for obtaining end side and network side；It is described
Statistical result includes the statistical result repeatedly counted；
Standard difference module, for the statistical result according to end side and network side, difference computing terminal side and network side pair
The standard deviation answered；
Adjusting module, for the standard deviation according to corresponding to end side and network side difference, adjust according to end side and/or net
Weight corresponding to network side；
Object module, for statistical result and weight according to corresponding to end side and network side difference, obtain described same
Final statistical result corresponding to item operational indicator.
In one embodiment, described device also includes：
Mean module, for the statistical result according to end side and network side, computing terminal side and network side are corresponding respectively
Average value；
The object module includes：
As a result submodule, for average value and weight according to corresponding to end side and network side difference, obtain described same
Final statistical result corresponding to item operational indicator.
In one embodiment, the adjusting module includes：
Estimate submodule, for being directed to end side and network side respectively, interval estimation is done to standard deviation, determines confidence area
Between；
Width comparison sub-module, for the width of the width of the confidential interval of end side and the confidential interval of network side to be entered
Row compares；
First adjustment submodule, corresponding to the less side of width for heightening confidential interval in end side and network side
Weight.
In one embodiment, the adjusting module also includes：
Average comparison sub-module, width and the width phase of the confidential interval of network side for the confidential interval in end side
Meanwhile by the average value of end side compared with the average value of network side；
Second adjustment submodule, heightens weight corresponding to the side that average value is larger in end side and network side.
In one embodiment, the same item operational indicator corresponds to multiple network events；Described device also includes：
Event module, for determining a network relevant with end side and network side from the multiple network event
Event.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of device of statistical service index, including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes more
The statistical result of secondary statistics；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, the power according to corresponding to end side and/or network side is adjusted
Weight；
According to statistical result and weight corresponding to end side and network side difference, it is corresponding to obtain the same item operational indicator
Final statistical result.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method.
Fig. 2 is a kind of schematic diagram of normal distribution according to an exemplary embodiment.
Fig. 3 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method.
Fig. 4 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method.
Fig. 5 is a kind of block diagram of the device of statistical service index according to an exemplary embodiment.
Fig. 6 is a kind of block diagram of the device of statistical service index according to an exemplary embodiment.
Fig. 7 is a kind of block diagram of object module according to an exemplary embodiment.
Fig. 8 is a kind of block diagram of adjusting module according to an exemplary embodiment.
Fig. 9 is a kind of block diagram of adjusting module according to an exemplary embodiment.
Figure 10 A are a kind of block diagrams of the device of statistical service index according to an exemplary embodiment.
Figure 10 B are a kind of block diagrams of acquisition module according to an exemplary embodiment.
Figure 11 is a kind of block diagram of device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
In correlation technique, end side can record to the local behavior of user, then report network side.Network side
Various statistics, the statistics of such as visit capacity or customer volume are carried out based on the daily record that end side reports.But due to network transmission etc.
Problem, network side not necessarily receive all daily records that end side reports, and cause not statistical uncertainty true.In addition, user may be in terminal
Side has carried out some operation behaviors unrelated with network side, and these behaviors are unrelated with network behavior, therefore can influence the standard of statistics
Exactness.Or network side can also record to behavior of the user on network, stored in the form of network log.Network side
It can be counted based on the network behavior of user.But if the daily record of network side is imperfect, network side can not be found,
So there is also not statistical uncertainty true situation.It has been generally acknowledged that network log and terminal daily record are independent of each other, or perhaps weak
Related, it is not possible to counted with reference to network log and terminal daily record.Even if expect that network log and terminal day can be combined
Will is counted, and the simple average to both sides statistical result, however it remains counts the problem of not accurate enough.
To solve the problem, the present embodiment carries out comprehensive statistics according to the statistical result of end side and network side both sides, and
And weight is adjusted according to standard deviation, then be weighted averagely, the degree of accuracy of statistics can be significantly improved.
Fig. 1 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method, such as Fig. 1 institutes
Show, this method can be realized by server, comprise the following steps：
In a step 101, the statistical result that end side and network side are directed to same item operational indicator respectively is obtained；The system
Meter result includes the statistical result repeatedly counted.
Operational indicator in the present embodiment can be the various statistical indicators required for Network, such as customer volume, click on
Number, clicking rate and user's access times etc..
In a step 102, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Standard deviation.
In step 103, the standard deviation according to corresponding to end side and network side difference, is adjusted according to end side and/or net
Weight corresponding to network side.
At step 104, statistical result and weight according to corresponding to end side and network side difference, obtain the same item
Final statistical result corresponding to operational indicator.
The present embodiment is counted according to the statistical result of end side and network side, caused by reduction side statistical result not
The problem of accurate.The standard deviation (or mean square deviation) of the present embodiment also counting statistics result, weight is adjusted according to standard deviation, making can
The higher statistical result of reliability accounts for more weights so that the result after weighted calculation is more accurate.
In the present embodiment, the initial weight of end side and network side can be with identical, then as the standard deviation calculated every time
It is adjusted.For example, it is desired to counting user amount, can be counted according to the behavior of user's logging in network.The lateral network side of terminal
Logging request is sent, network side confirms to feed back after receiving request to end side transmission.End side and network side can record really
Recognize and feed back this operational indicator.Network side can receive the daily record that multiple terminals are sent, and this note is fed back in the confirmation in daily record
Record is counted.Network side obtains statistical result S according to the daily record of end sidec(x1,x2.....xk), xiRepresent intraday use
Family logs in quantity, and i=1,2 ... k, more accurate in order to count, k is more than 30.Sample size is bigger to count more accurate, this implementation
Example uses the sample size no less than 30 days, forms the sample set of end side, that is, the statistical result of end side.Equally
, network side obtains statistics knot to confirming that feeding back this behavior can also be recorded in network log according to the daily record of network side
Fruit Ss(y1,y2......yk), yiRepresent that intraday user logs in quantity, i=1,2 ... k.Network side calculates S respectivelycAnd Ss
Standard deviation sigmacAnd σs.Then according to σcAnd σsAdjust weight corresponding to end side and/or network side.
There is a variety of the mode of weighted calculation in the present embodiment, adjust the mode of weight also have it is a variety of.Such as formula 1：
w*Sc+(1-w)Ss=V, w represent weight corresponding to end side, and V represents final statistical result.
By changing w value, the weight of end side and network side can adjust.
Or such as formula 2：
Weight corresponding to end side is represented, a is weight coefficient.
By changing a value, the weight of end side and network side can adjust.
In one embodiment, in order to further improve the degree of accuracy of statistics, the average value of statistical result can be carried out
Weighted calculation.Then, methods described also includes：Step A1.
In step A1, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Average value.
For example, S is calculated respectivelycAnd SsAverage valueWith
Step 104 can be realized by step A2.
In step A2, according to average value and weight corresponding to end side and network side difference, the same Xiang Ye is obtained
Final statistical result corresponding to index of being engaged in.
For example, final statistical result
In one embodiment,, can be by putting in order to improve the degree of accuracy of statistics when adjusting weight according to standard deviation
Reliability adjusts weight.Then, step 103 includes：Step B1- steps B3.
In step bl is determined, interval estimation is done to standard deviation, determines confidential interval for end side and network side respectively.Put
Letter section confidential interval refers to the estimation interval of the population parameter constructed by sample statistic.In statistics, a probability
The confidential interval (Confidence interval) of sample is the interval estimation to some population parameter of this sample.Confidence
What section showed is that the actual value of this parameter has certain probability to fall the degree around measurement result.
In step B2, by the width of the confidential interval of end side compared with the width of the confidential interval of network side.
In step B3, weight corresponding to the less side of width of confidential interval in end side and network side is heightened.
For example, as shown in Fig. 2 respectively to standard deviation sigmacAnd σsInterval estimation is carried out, is limited according to the center pole of sample average
Reason, when sample size n sample range is fully big, (roughly, n》=30), sample average approximation is in normal distribution.It is multiple it is independent with
The stochastic variable that the summation of machine variable obtains can be with normal distribution come approximate.The present embodiment usesConfidence system
Number is 0.95 interval estimation (can check gaussian distribution table).Fig. 2 shows just too distribution curve, and f1 and f2 represent 0.95 area
Between estimate.Select the interval estimation to filter out the interference of upper and lower peak value, make result more accurate.
The width of confidential interval is smaller, illustrates the value for the description same accuracy scope that the sample can be concentrated more, therefore
Weight of the sample in fitting will increase.By the confidence of the width of the confidential interval of end side and network side in the present embodiment
The width in section is compared.Heighten weight corresponding to the less side of width of confidential interval in end side and network side.Adjust
High amplitude is determined by default step-length.
In one embodiment, the comparative result of the width before according to confidential interval adjusts weight.But terminal be present
The width identical situation of the width of the confidential interval of side and the confidential interval of network side.If the width of the confidential interval of end side
It is identical with the width of the confidential interval of network side, then weight can be adjusted according to the comparative result of average value.
Then, step 103 also includes：Step B4- steps B5.
, will when the width of the confidential interval of end side is identical with the width of the confidential interval of network side in step B4
The average value of end side is compared with the average value of network side.
In step B5, weight corresponding to the side that average value is larger in end side and network side is heightened.
For example, obtain ScAnd SsAverage valueWithCompareWithSize, average value it is bigger represent sample it is more complete
More complete, confidence level is also just higher.Heighten weight corresponding to the side that average value is larger in end side and network side so that statistics
As a result it is more accurate.
In one embodiment, either terminal daily record or network log, have recorded many behaviors of user, user
A behavior there may be multiple events.Such as the once login clicking operation of user so that end side carries out more with network side
Secondary shake hands could complete connection.If counted according to multiple handshake procedure, it is clear that repetition statistics be present, it is as a result inaccurate.
To solve the problem, methods described also includes：Step C.
In step C, a network thing relevant with end side and network side is determined from the multiple network event
Part.
The present embodiment determines multiple network events that a user behavior is triggered, and is determined from multiple network events and whole
Side and the relevant network thing of network side.Such as in login process repeatedly shaking hands, can select last time into
Work(is shaken hands event.The last time successful handshake event was both relevant with end side and network side, can also illustrate that user successfully steps on
Record.It ensure that statistical accuracy.Terminal daily record can be verified each other with network log, can also reduce repetition statistics.
In one embodiment, step 101 includes：Step D1 and step D2.
In step D1, the statistical result of end side and the statistical result of network side are traveled through；
In step d 2, same item operational indicator is filtered out from the statistical result of end side and the statistical result of network side
Statistical result.
The present embodiment can obtain end side and network side for same item operational indicator by way of traveling through and screening
Statistical result, mutually confirmed using the statistical result of both sides so that statistical result is more accurate.
The implementation process of statistical service index is discussed in detail below by several embodiments.
Fig. 3 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method, such as Fig. 3 institutes
Show, this method can be realized by server, comprise the following steps：
In step 301, the statistical result that end side and network side are directed to same item operational indicator respectively is obtained；The system
Meter result includes the statistical result repeatedly counted.
In step 302, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Average value.
In step 303, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Standard deviation.
In step 304, interval estimation is done to standard deviation, determines confidential interval for end side and network side respectively.
In step 305, by the width of the confidential interval of end side compared with the width of the confidential interval of network side.
Within step 306, weight corresponding to the less side of width of confidential interval in end side and network side is heightened.
In step 307, average value and weight according to corresponding to end side and network side difference, obtain the same Xiang Ye
Final statistical result corresponding to index of being engaged in.
Fig. 4 is the flow chart that a kind of statistical service according to an exemplary embodiment refers to calibration method, such as Fig. 4 institutes
Show, this method can be realized by server, comprise the following steps：
In step 401, the statistical result that end side and network side are directed to same item operational indicator respectively is obtained；The system
Meter result includes the statistical result repeatedly counted.
In step 402, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Average value.
In step 403, according to end side and the statistical result of network side, distinguish corresponding to computing terminal side and network side
Standard deviation.
In step 404, interval estimation is done to standard deviation, determines confidential interval for end side and network side respectively.
In step 405, by the width of the confidential interval of end side compared with the width of the confidential interval of network side.
In a step 406, will when the width of the confidential interval of end side is identical with the width of the confidential interval of network side
The average value of end side is compared with the average value of network side.
In step 407, weight corresponding to the side that average value is larger in end side and network side is heightened.
If end side is identical with the average value of network side, weight can not be adjusted.
In a step 408, average value and weight according to corresponding to end side and network side difference, obtain the same Xiang Ye
Final statistical result corresponding to index of being engaged in.
By the implementation process described above for having understood statistical service index, the process is realized by server, below for
The internal structure and function of equipment are introduced.
Fig. 5 is a kind of schematic device of statistical service index according to an exemplary embodiment.Reference picture 5, should
Device includes：Acquisition module 501, standard difference module 502, adjusting module 503 and object module 504.
Acquisition module 501, it is directed to the statistical result of same item operational indicator respectively for obtaining end side and network side；Institute
State the statistical result that statistical result includes repeatedly counting.
Standard difference module 502, for the statistical result according to end side and network side, difference computing terminal side and network side
Corresponding standard deviation.
Adjusting module 503, for according to end side and network side respectively corresponding to standard deviation, adjust according to end side and/
Or weight corresponding to network side.
Object module 504, for statistical result and weight according to corresponding to end side and network side difference, obtain described same
Final statistical result corresponding to one operational indicator.
In one embodiment, as shown in Figure 6 and Figure 7, described device also includes：Mean module 505.
Mean module 505, for the statistical result according to end side and network side, difference computing terminal side and network side pair
The average value answered.
The object module 504 includes：As a result submodule 5041.
As a result submodule 5041, for average value and weight according to corresponding to end side and network side difference, obtain described
Final statistical result corresponding to same item operational indicator.
In one embodiment, as shown in figure 8, the adjusting module 503 includes：Estimation submodule 5031, width compare
Submodule 5032 and first adjusts submodule 5033.
Estimate submodule 5031, for being directed to end side and network side respectively, interval estimation is done to standard deviation, determines confidence
Section.
Width comparison sub-module 5032, for by the width of the width of the confidential interval of end side and the confidential interval of network side
Degree is compared.
First adjustment submodule 5033, the less side pair of width for heightening confidential interval in end side and network side
The weight answered.
In one embodiment, as shown in figure 9, the adjusting module 503 also includes：Average comparison sub-module 5034 and
Two adjustment submodules 5035.
Average comparison sub-module 5034, for the confidential interval in end side width and network side confidential interval width
When spending identical, by the average value of end side compared with the average value of network side；
Second adjustment submodule 5035, heightens weight corresponding to the side that average value is larger in end side and network side.
In one embodiment, as shown in Figure 10 A, the same item operational indicator corresponds to multiple network events；The dress
Putting also includes：Event module 506.
Event module 506, for from the multiple network event determine one it is relevant with end side and network side
Network event.
In one embodiment, as shown in Figure 10 B, the acquisition module 501 includes：Travel through submodule 5011 and screening
Module 5012.
Submodule 5011 is traveled through, for traveling through the statistical result of end side and the statistical result of network side；
Submodule 5012 is screened, for filtering out same item from the statistical result of the statistical result of end side and network side
The statistical result of operational indicator.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Figure 11 is a kind of block diagram of device 1100 for statistical service index according to an exemplary embodiment.Example
Such as, device 1100 may be provided in a computer.Reference picture 11, device 1100 include processing component 1122, and it is further wrapped
One or more processors are included, and as the memory resource representated by memory 1132, can be by processing component for storing
The instruction of 1122 execution, such as application program.The application program stored in memory 1132 can include one or one with
On each correspond to the module of one group of instruction.In addition, processing component 1122 is configured as execute instruction, to perform above-mentioned side
Legally constituted authority meter operational indicator.
Device 1100 can also include a power supply module 1126 and be configured as the power management of performs device 1100, one
Wired or wireless network interface 1150 is configured as device 1100 being connected to network, and input and output (I/O) interface
1158.Device 1100 can be operated based on the operating system for being stored in memory 1132, such as Windows ServerTM, Mac
OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
A kind of device of statistical service index, including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes more
The statistical result of secondary statistics；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, the power according to corresponding to end side and/or network side is adjusted
Weight；
According to statistical result and weight corresponding to end side and network side difference, it is corresponding to obtain the same item operational indicator
Final statistical result.
The processor can be additionally configured to：
According to end side and the statistical result of network side, average value corresponding to difference computing terminal side and network side；
Statistical result and the weight according to corresponding to end side and network side difference, obtains the same item operational indicator
Corresponding final statistical result, including：
According to average value and weight corresponding to end side and network side difference, obtain corresponding to the same item operational indicator
Final statistical result.
The processor can be additionally configured to：
End side and network side are directed to respectively, and interval estimation is done to standard deviation, determines confidential interval；
By the width of the confidential interval of end side compared with the width of the confidential interval of network side；
Heighten weight corresponding to the less side of width of confidential interval in end side and network side.
The processor can be additionally configured to：
When the width of the confidential interval of end side is identical with the width of the confidential interval of network side, by being averaged for end side
Value is compared with the average value of network side；
Heighten weight corresponding to the side that average value is larger in end side and network side.
The processor can be additionally configured to：
Travel through the statistical result of end side and the statistical result of network side；
The statistical result of same item operational indicator is filtered out from the statistical result of end side and the statistical result of network side.
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the computing device of mobile terminal
When so that mobile terminal is able to carry out a kind of statistical service and refers to calibration method, and methods described includes：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes more
The statistical result of secondary statistics；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, the power according to corresponding to end side and/or network side is adjusted
Weight；
According to statistical result and weight corresponding to end side and network side difference, it is corresponding to obtain the same item operational indicator
Final statistical result.
Instruction in the storage medium can also include：
According to end side and the statistical result of network side, average value corresponding to difference computing terminal side and network side；
Statistical result and the weight according to corresponding to end side and network side difference, obtains the same item operational indicator
Corresponding final statistical result, including：
According to average value and weight corresponding to end side and network side difference, obtain corresponding to the same item operational indicator
Final statistical result.
Instruction in the storage medium can also include：
End side and network side are directed to respectively, and interval estimation is done to standard deviation, determines confidential interval；
By the width of the confidential interval of end side compared with the width of the confidential interval of network side；
Heighten weight corresponding to the less side of width of confidential interval in end side and network side.
Instruction in the storage medium can also include：
When the width of the confidential interval of end side is identical with the width of the confidential interval of network side, by being averaged for end side
Value is compared with the average value of network side；
Heighten weight corresponding to the side that average value is larger in end side and network side.
Instruction in the storage medium can also include：
Travel through the statistical result of end side and the statistical result of network side；
The statistical result of same item operational indicator is filtered out from the statistical result of end side and the statistical result of network side.
Those skilled in the art will readily occur to other embodiment party of the disclosure after considering specification and putting into practice invention disclosed herein
Case.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or adaptability
Change follows the general principle of the disclosure and including the undocumented common knowledge in the art of the disclosure or usual skill
Art means.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following claim
Point out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (11)
1. a kind of statistical service refers to calibration method, it is characterised in that including：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes repeatedly system
The statistical result of meter；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, weight corresponding to end side and/or network side is adjusted；
According to statistical result and weight corresponding to end side and network side difference, obtain corresponding to the same item operational indicator most
Whole statistical result.
2. statistical service according to claim 1 refers to calibration method, it is characterised in that methods described also includes：
According to end side and the statistical result of network side, average value corresponding to difference computing terminal side and network side；
Statistical result and the weight according to corresponding to end side and network side difference, it is corresponding to obtain the same item operational indicator
Final statistical result, including：
According to average value and weight corresponding to end side and network side difference, obtain final corresponding to the same item operational indicator
Statistical result.
3. statistical service according to claim 1 or 2 refers to calibration method, it is characterised in that described according to end side and net
Standard deviation corresponding to the difference of network side, weight corresponding to end side and/or network side is adjusted, including：
End side and network side are directed to respectively, and interval estimation is done to standard deviation, determines confidential interval；
By the width of the confidential interval of end side compared with the width of the confidential interval of network side；
Heighten weight corresponding to the less side of width of confidential interval in end side and network side.
4. statistical service according to claim 3 refers to calibration method, it is characterised in that described according to end side and network side
Standard deviation corresponding to respectively, weight corresponding to end side and/or network side is adjusted, in addition to：
When the width of the confidential interval of end side is identical with the width of the confidential interval of network side, by the average value of end side with
The average value of network side is compared；
Heighten weight corresponding to the side that average value is larger in end side and network side.
5. statistical service according to claim 1 refers to calibration method, it is characterised in that the acquisition end side and network side
The statistical result of same item operational indicator is directed to respectively, including：
Travel through the statistical result of end side and the statistical result of network side；
The statistical result of same item operational indicator is filtered out from the statistical result of end side and the statistical result of network side.
A kind of 6. device of statistical service index, it is characterised in that including：
Acquisition module, it is directed to the statistical result of same item operational indicator respectively for obtaining end side and network side；The statistics
As a result the statistical result repeatedly counted is included；
Standard difference module, for the statistical result according to end side and network side, distinguish corresponding to computing terminal side and network side
Standard deviation；
Adjusting module, for the standard deviation according to corresponding to end side and network side difference, adjust end side and/or network side is corresponding
Weight；
Object module, for statistical result and weight according to corresponding to end side and network side difference, obtain the same Xiang Ye
Final statistical result corresponding to index of being engaged in.
7. the device of statistical service index according to claim 6, it is characterised in that described device also includes：
Mean module, for the statistical result according to end side and network side, put down respectively corresponding to computing terminal side and network side
Average；
The object module includes：
As a result submodule, for average value and weight according to corresponding to end side and network side difference, the same Xiang Ye is obtained
Final statistical result corresponding to index of being engaged in.
8. the device of the statistical service index according to claim 6 or 7, it is characterised in that the adjusting module includes：
Estimate submodule, for being directed to end side and network side respectively, interval estimation is done to standard deviation, determines confidential interval；
Width comparison sub-module, for the width of the width of the confidential interval of end side and the confidential interval of network side to be compared
Compared with；
First adjustment submodule, power corresponding to the less side of width for heightening confidential interval in end side and network side
Weight.
9. the device of statistical service index according to claim 8, it is characterised in that the adjusting module also includes：
Average comparison sub-module, the width for the confidential interval in end side are identical with the width of the confidential interval of network side
When, by the average value of end side compared with the average value of network side；
Second adjustment submodule, heightens weight corresponding to the side that average value is larger in end side and network side.
10. the device of statistical service index according to claim 6, it is characterised in that the acquisition module includes：
Submodule is traveled through, for traveling through the statistical result of end side and the statistical result of network side；
Submodule is screened, for filtering out same item operational indicator from the statistical result of the statistical result of end side and network side
Statistical result.
A kind of 11. device of statistical service index, it is characterised in that including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain the statistical result that end side and network side are directed to same item operational indicator respectively；The statistical result includes repeatedly system
The statistical result of meter；
According to end side and the statistical result of network side, standard deviation corresponding to difference computing terminal side and network side；
According to standard deviation corresponding to end side and network side difference, weight corresponding to end side and/or network side is adjusted；
According to statistical result and weight corresponding to end side and network side difference, obtain corresponding to the same item operational indicator most
Whole statistical result.
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