University of Bahrain
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Testing the Population Kurtosis Parameter: An Empirical Study with Applications

Show simple item record Guo, Yawen Kibria, B. M. Golam 2018-08-01T05:35:54Z 2018-08-01T05:35:54Z 2017-05
dc.identifier.issn 2384-4795
dc.description.abstract The purpose of this paper is to propose some test statistics for testing the kurtosis parameter of a distribution. Since a theoretical comparison among the test statistics is not possible, a simulation study has been conducted to compare the performance of the test statistics. We have compared both parametric and non-parametric methods. Our simulation results indicate that for testing the kurtosis parameter the classical method performs well when the data are from both normal and beta distributions and bootstrap methods are useful for uniform distribution especially when the sample size is large. Heath related data are analyzed to illustrate the findings of the paper. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject Empirical Size
dc.subject Population Kurtosis
dc.subject Power of the Test
dc.subject Simulation Study
dc.subject Test of Hypothesis
dc.title Testing the Population Kurtosis Parameter: An Empirical Study with Applications en_US
dc.type Article en_US
dc.volume 04
dc.issue 01
dc.pagestart 45
dc.pageend 63
dc.source.title International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle IJCTS

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