https://github.com/danmadeira/estatistica-em-php
Funções com algoritmos das fórmulas estatísticas.
https://github.com/danmadeira/estatistica-em-php
calculo correlacao covariancia curtose desviopadrao estatistica formula media php variancia zscore
Last synced: about 2 months ago
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Funções com algoritmos das fórmulas estatísticas.
- Host: GitHub
- URL: https://github.com/danmadeira/estatistica-em-php
- Owner: danmadeira
- License: gpl-3.0
- Created: 2020-11-20T20:47:03.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2020-11-24T18:49:11.000Z (over 4 years ago)
- Last Synced: 2025-01-08T11:40:30.183Z (3 months ago)
- Topics: calculo, correlacao, covariancia, curtose, desviopadrao, estatistica, formula, media, php, variancia, zscore
- Language: PHP
- Homepage:
- Size: 362 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
## Cálculos Estatísticos em PHP
Esta é uma classe em PHP que contém funções que implementam alguns cálculos estatísticos. Os algoritmos que representam as fórmulas estatísticas estão escritos em uma estrutura simples e semelhante a aplicação pura das respectivas fórmulas, para deixar o código o mais limpo possível, e assim, didático.
Até o momento, estas são algumas das fórmulas estatísticas que estão implementadas:








Obs.: As funções possuem versões para dados agrupados ou não agrupados e para dados amostrais ou populacionais. Esta classe não utiliza a extensão PECL "stats" pois a ideia é demonstrar os algoritmos.
### Referências:
- AGRESTI, A.; FRANKLIN, C.; KLINGENBERG, B. *Statistics: The Art and Science of Learning from Data*, 4th Edition. Pearson Education Limited, 2018.
- ANDERSON, D. R.; SWEENEY, D. J.; WILLIAMS, T. A. *Essentials of Statistics for Business and Economics*, 5th Edition. Thomson South-Western, 2009.
- ANDERSON, D. R.; SWEENEY, D. J.; WILLIAMS, T. A. *Statistics for Business and Economics*, 11th Edition. South-Western, Cengage Learning, 2011.
- BLUMAN, A. G. *Elementary Statistics: A Step By Step Approach*, 10th Edition. McGraw-Hill, 2018.
- BONAMENTE, M. *Statistics and Analysis of Scientific Data*, 2nd Edition. Springer Science Business Media, 2017.
- BOSLAUGH, S.; WATTERS, P. A. *Statistics in a Nutshell*, 1st Edition. O'Reilly, 2008.
- BRUCE, P.; BRUCE, A.; GEDECK, P. *Practical Statistics for Data Scientists*, 2nd Edition. O'Reilly Media, 2020.
- DANGETI, P. *Statistics for Machine Learning*. Packt Publishing, 2017.
- DEVORE, J. L. *Probability and Statistics for Engineering and the Sciences*, 9th Edition. Cengage Learning, 2016.
- EMC Education Services. *Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data*. John Wiley & Sons, 2015.
- FORSYTH, D. *Probability and Statistics for Computer Science*. Springer International Publishing, 2018.
- FREEDMAN, D.; PISANI, R.; PURVES. R. *Statistics*, 4th Edition. W. W. Norton & Company, 2007.
- FREUND, R. J.; WILSON, W. J. *Statistical Methods*, 2nd Edition. Academic Press, 2003.
- HEUMANN, C.; SCHOMAKER, M.; SHALABH. *Introduction to Statistics and Data Analysis*. Springer International Publishing Switzerland, 2016.
- HOGG, R. V.; MCKEAN, J. W.; CRAIG, A. T. *Introduction to Mathematical Statistics*, 8th Edition. Pearson Education, 2019.
- JOHNSON, R.; KUBY, P. *Elementary Statistics*, 11th edition. Brooks/Cole, Cengage Learning, 2012.
- KOTZ, S.; READ, C. B.; BALAKRISHNAN, N.; VIDAKOVIC, B. *Encyclopedia of Statistical Sciences*, 2nd Edition, Vol 1-16. John Wiley & Sons, 2005.
- MARTIN, B. R. *Statistics for Physical Sciences, An Introduction*, 1st Edition. Elsevier, 2012.
- MENDENHALL, W.; BEAVER, R. J.; BEAVER, B. M. *Introduction to Probability and Statistics*, 13th Edition. Brooks/Cole, Cengage Learning, 2009.
- MENDENHALL, W. M.; SINCICH, T. L. *Statistics for Engineering and the Sciences*, 6th Edition. CRC Press, Taylor & Francis Group, 2016.
- MONTGOMERY, D. C.; RUNGER, G. C. *Applied Statistics and Probability for Engineers*, 3rd Edition. John Wiley & Sons, 2003.
- NISBET, R.; MINER, G.; YALE, K. *Handbook of Statistical Analysis and Data Mining Applications*, 2nd Edition. Academic Press, Elsevier, 2018.
- OZDEMIR, S. *Principles of Data Science: Learn the techniques and math you need to start making sense of your data*. Packt Publishing, 2016.
- PECK, R.; DEVORE, J. L. *Statistics: The Exploration and Analysis of Data*, 7th Edition. Brooks/Cole, Cengage Learning, 2012.
- PECK, R.; OLSEN, C.; DEVORE, J. L. *Introduction to Statistics and Data Analysis*, 4th Edition. Brooks/Cole, Cengage Learning, 2012.
- PROVOST, F.; FAWCETT, T. *Data Science for Business*, 1st Edition. O'Reilly Media, 2013.
- RASCH, D.; SCHOTT, D. *Mathematical Statistics*. John Wiley & Sons, 2018.
- SALKIND, N. J. *Encyclopedia of Measurement and Statistics*, Vol 1-3. SAGE Publications, 2007.
- SKIENA, S. S. *The Data Science Design Manual*. Texts in Computer Science. Springer International Publishing, 2017.
- SPIEGEL, M. R.; STEPHENS, L. J. *Schaum's Outline of Statistics*, 6th Edition. McGraw-Hill Education, 2018.
- WALPOLE, R. E.; MYERS, R. H.; MYERS, S. L.; YE, K. *Probability & Statistics for Engineers & Scientists*, 9th Edition, Global Edition. Pearson Education Limited, 2016.
- WEIERS, R. M. *Introduction to Business Statistics*, 6th Edition. Thomson South-Western, 2008.
- WITTE, R. S.; WITTE, J. S. *Statistics*, 11th Edition. John Wiley & Sons, 2017.