Analysis of Nonparametric and Parametric Criteria for Statistical Hypotheses Testing. Chapter 1. Agreement Criteria of Pearson and Kolmogorov

Analysis of Nonparametric and Parametric Criteria for Statistical Hypotheses Testing. Chapter 1. Agreement Criteria of Pearson and Kolmogorov

In the statistical analysis of experimental results it is extremely important to know the distribution laws of the general population. ‎Because of all assumptions about the distribution laws are statistical hypotheses, they should be tested. ‎Testing hypotheses are carried out by using the statistic...

Full description

Bibliographic Details
Main Author: F. V. Motsnyi
Format: Article
Language:English
Published: State Statistics Service of Ukraine, the National Academy of Statistics, Accounting and Audit (NASAA), the National Academy for Public Administration (NAPA) under the President of Ukraine 2018-12-01
Series:Статистика України
Subjects:
математична статистика, вибірка, випадкові величини, статистичні гіпотези, число ступенів вільності; критична точка; емпірична частота, теоретична частота, емпірична функція, теоретична функція, закони розподілу, непараметричні критерії, критерій пірсона, критерій колмогорова
Online Access:https://su-journal.com.ua/index.php/journal/article/view/206

Internet

https://su-journal.com.ua/index.php/journal/article/view/206

Similar Items