Advances and Applications in Statistics
Volume 48, Issue 4, Pages 257 - 272
(April 2016) http://dx.doi.org/10.17654/AS048040257 |
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MODIFIED GOODNESS OF FIT TESTS FOR THE INVERSE FLEXIBLE WEIBULL DISTRIBUTION
W. M. Afify and Ahmed Ramzy
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Abstract: Goodness of fit tests are considered for testing the two-parameter inverse flexible Weibull distribution based on complete and type-II censored sampling. The maximum likelihood method of estimation is used for estimating the parameters. Critical values are obtained for the modified Kolmogorov-Smirnov, Anderson-Darling and Cramer-von Mises test statistics through Monte Carlo simulation. The power study of these tests conducts several of alternative distributions. Moreover, real data set is used as an illustrative example for goodness of fit tests for the inverse flexible Weibull distribution. |
Keywords and phrases: goodness of fit, censored samples, inverse flexible Weibull, Monte Carlo simulation. |
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