Add to ORKGSince normal distributions are the most important ones in statistics, there are large number of tests for normality. However they have less some drawbacks. Some of these tests are simple but suitable for some situations. In this study, the traditional Cramer-von Mises test statistics is modified based on Weibull formula. The new goodness-of-fit test is compared with the traditional Anderson-Darling (AD), Cramer von-Mises (CR), Kolmogorov-Smirnov (KS) and Shapiro-Wilk (SW) test statistics. A simulation study using several different distributions shows that the proposed test is very powerful for testing normality
For testing normality with unknown parameters mu and sigma{2}, extensive simulation studies have sho...
Standard statistical procedures often require data to be normally distributed and the results of the...
Goodness of fit (GOF) test is a statistical technique in selection of an appropriate probability dis...
Since normal distributions are the most important ones in statistics, there are large number of test...
Since normal distributions are the most important ones in statistics, there are large number of test...
This thesis study about goodness-of-fit testing approach for normality based on Bayesian method and ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
The assumption of normality is very important because it is used in many statistical procedures such...
In many statistical analyses, data need to be approximately normal or normally distributed.The kalmo...
Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023.The normality assump...
For testing normality we investigate the power of several tests, rst of all, the well known test of...
T-test is proposed as a parametric test to evaluate mean of population(s). Therefore, it is assumed...
Standard statistical procedures often require data to be normally distributed and the results of the...
Goodness-of-fit tests have been studied by many researchers. Among them, an alternative statistical ...
AbstractWe give the results of a comprehensive simulation study of the power properties of prominent...
For testing normality with unknown parameters mu and sigma{2}, extensive simulation studies have sho...
Standard statistical procedures often require data to be normally distributed and the results of the...
Goodness of fit (GOF) test is a statistical technique in selection of an appropriate probability dis...
Since normal distributions are the most important ones in statistics, there are large number of test...
Since normal distributions are the most important ones in statistics, there are large number of test...
This thesis study about goodness-of-fit testing approach for normality based on Bayesian method and ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
The assumption of normality is very important because it is used in many statistical procedures such...
In many statistical analyses, data need to be approximately normal or normally distributed.The kalmo...
Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023.The normality assump...
For testing normality we investigate the power of several tests, rst of all, the well known test of...
T-test is proposed as a parametric test to evaluate mean of population(s). Therefore, it is assumed...
Standard statistical procedures often require data to be normally distributed and the results of the...
Goodness-of-fit tests have been studied by many researchers. Among them, an alternative statistical ...
AbstractWe give the results of a comprehensive simulation study of the power properties of prominent...
For testing normality with unknown parameters mu and sigma{2}, extensive simulation studies have sho...
Standard statistical procedures often require data to be normally distributed and the results of the...
Goodness of fit (GOF) test is a statistical technique in selection of an appropriate probability dis...