KR20160003221U - Statistics and reality error statistics in future prediction systems - Google Patents
Statistics and reality error statistics in future prediction systems Download PDFInfo
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- KR20160003221U KR20160003221U KR2020160005171U KR20160005171U KR20160003221U KR 20160003221 U KR20160003221 U KR 20160003221U KR 2020160005171 U KR2020160005171 U KR 2020160005171U KR 20160005171 U KR20160005171 U KR 20160005171U KR 20160003221 U KR20160003221 U KR 20160003221U
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- future prediction
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- 238000004364 calculation method Methods 0.000 claims description 2
- 230000009977 dual effect Effects 0.000 claims 1
- 238000012795 verification Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000010197 meta-analysis Methods 0.000 description 1
- 238000012066 statistical methodology Methods 0.000 description 1
- 238000000528 statistical test Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24573—Query processing with adaptation to user needs using data annotations, e.g. user-defined metadata
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
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Abstract
This design is an idea IP designed to solve the task of multi-plan study. Prior to the invention described above, a mechanical device, a petrology tool, and the like were invented. In solving this task, 1. Convenience 2. Practicality 3. Verification in terms of continuity and verifying the errors of statistics and reality once again (double verification) Unlike the existing invention, It makes it easy for users to keep pace with the modern society in forecasting.
Description
This design corresponds to a meta-analysis among the detailed areas of science and technology.
Prior to the invention described above, a mechanical device, a petrology tool, and the like were invented.
Statistical and real-time error statistics in future forecasting system to make everyday life easier
In solving this task, 1. Convenience 2. Practicality 3. Verification in terms of continuity and verifying the error of statistics and reality once again (double verification)
Unlike the existing invention, it makes a difference between the error and the error, so that it can be easily used by the users in the future in accordance with the modern society.
Examples of statistical and real error statistical methodologies in future prediction systems
1. Use the Gaussian distribution formula.
2. In the above formula, calculate error once again in the error calculation range, and perform three test statistical tests to calculate at the significance level of 5%.
3. Tie the formula to real life and add the constant value to formula 1.
Claims (1)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR2020160005171U KR20160003221U (en) | 2016-09-05 | 2016-09-05 | Statistics and reality error statistics in future prediction systems |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR2020160005171U KR20160003221U (en) | 2016-09-05 | 2016-09-05 | Statistics and reality error statistics in future prediction systems |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20160003221U true KR20160003221U (en) | 2016-09-23 |
Family
ID=57048528
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR2020160005171U KR20160003221U (en) | 2016-09-05 | 2016-09-05 | Statistics and reality error statistics in future prediction systems |
Country Status (1)
| Country | Link |
|---|---|
| KR (1) | KR20160003221U (en) |
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2016
- 2016-09-05 KR KR2020160005171U patent/KR20160003221U/en not_active Application Discontinuation
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