Graduate Thesis Or Dissertation

 

Efficiency comparisons of goodness-of-fit tests for Weibull and gamma distributions with singly censored data Public Deposited

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  • Generalizations of the smooth goodness-of-fit test statistics, the components of Cramer-von Mises type statistics and the Pearson chi-square statistics are considered for censored samples. Asymptotic efficiency comparisons are made between these general goodness-of-fit tests for Weibull and gamma distributions for certain parametric alternatives in the case of singly censored samples. Efficiency comparisons are also made with the specialized tests of Mann for Weibull distribution and of Locke for gamma distribution. Among these tests the smooth test of order one was found to be most efficient for all cases considered.
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