Chi-Square goodness of fit test for logistic distribution using RSS and SRS - Sameer A. Al-Subh, Mohd T. Alodat, Kamarulzaman Ibrahim - Vita e Pensiero - Articolo Statistica & Applicazioni

Chi-Square goodness of fit test for logistic distribution using RSS and SRS

Free
digital
Chi-Square goodness of fit test for logistic distribution using RSS and SRS
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2011 - 2
title Chi-Square goodness of fit test for logistic distribution using RSS and SRS
authors


publisher Vita e Pensiero
format Article | Pdf
online since 03-2011
issn 18246672 (print)
Write a comment for this product
Offer valid until 02/12/2023
Download

Ebook format Pdf readable on these devices:

In this paper, we introduce a new method to improve the power of the chi-square test for goodness of fit (GOF) of logistic distribution under selective order ranked Set sampling (RSS) based on minimum, median and maximum as compared to simple random sampling (SRS). Based on a simulation study, we illustrate that the chi-square test is found to be more powerful under selective order RSS when compared to SRS, particularly for minimum and maximum. However, for the case of median RSS, the test is found to be more powerful under SRS. To investigate these results further, the Kullback- Leibler information (KLI) is applied and similar results are found.

Keywords: Goodness of fit test, chi-square test, logistic distribution, ranked set sample, simple random sample.

This site or third-party tools used by this make use of cookies necessary for the operation and useful for the purposes outlined in the cookie policy.
If you want to learn more or opt out of all or some cookies, see the cookie policy.
By closing this warning, browsing this page, clicking on a link or continuing to browse otherwise, you consent to the use of cookies.

I Agree