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Goodness-of-fit test for the half logistic distribution based on multiply Type-II censored samples  

Kang, Suk-Bok (Department of Statistics, Yeungnam University)
Cho, Young-Seuk (Department of Statistics, Pusan National University)
Han, Jun-Tae (National Health Insurance Policy Research Institute, National Health Insurance Corporation)
SaKong, Jin (Department of Economics, Hanyang University)
Publication Information
Journal of the Korean Data and Information Science Society / v.21, no.2, 2010 , pp. 317-325 More about this Journal
Abstract
In this paper, we develop four modified empirical distribution function (EDF) type tests using approximate maximum likelihood estimators for the half-logistic distribution based on multiply Type-II censored samples. We also propose modified normalize sample Lorenz curve polt and new test statistics. We compare the above test statistics in the sense of the power for various censored samples. We present an example to illustrate this method.
Keywords
Approximate maximum likelihood estimator; goodness-of-fit test; multiply Type-II censored sample; normalized sample Lorenz curve;
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Times Cited By KSCI : 3  (Citation Analysis)
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