Gini index based goodness-of-fit test for the logistic distribution
Hadi Alizadeh Noughabi
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 14, 7114-7124
Abstract:
To model growth curves in survival analysis and biological studies the logistic distribution has been widely used. In this article, we propose a goodness-of-fit test for the logistic distribution based on an estimate of the Gini index. The exact distribution of the proposed test statistic and also its asymptotic distribution are presented. In order to compute the proposed test statistic, parameters of the logistic distribution are estimated by approximate maximum likelihood estimators (AMLEs), which are simple explicit estimators. Through Monte Carlo simulations, power comparisons of the proposed test with some known competing tests are carried. Finally, an illustrative example is presented and analyzed.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:46:y:2017:i:14:p:7114-7124
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DOI: 10.1080/03610926.2016.1144767
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