A New Exponential GOF Test for Data Subject to Multiply Type II Censoring

Autor:	Daniel R. Jeske, Scott M. Lesch
Rok vydání:	2013
Předmět:	Statistics and Probability Exponential distribution Goodness of fit Ratio test Order statistic Statistics Test statistic Data subject Censoring (statistics) Mathematics Exponential function
Zdroj:	Communications in Statistics - Theory and Methods. 42:4392-4410
ISSN:	1532-415X 0361-0926
Popis:	This article presents a new goodness-of-fit (GOF) test statistic for multiply Type II censored Exponential data. The new test also applies to ordinary Type II censored samples and complete samples, since those cases are special cases of multiply Type II censoring. This test statistic is based on a ratio of linear functions of order statistics. Empirical power studies confirm that this ratio test compares favorably to currently available GOF tests for ordinary Type II censored data. Three data analysis examples are provided that demonstrate the usefulness of this new test statistic.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::51899ff94142b155ad51b0ea4c2062b3 https://doi.org/10.1080/03610926.2011.652791 Zobrazit plný text záznamu