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3 articles for “One-parameter truncated distribution”
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Asymptotic Tests for Truncation Parameters of several One-truncation Parameter Family of Distributions
Abstract: In this study, the authors have obtained the asymptotic tests for testing equality of truncation parameters of one truncation parameter family of distributions. The asymptotic conditional distribution of complete sufficient statistic of parameter of interest is obtained by conditioning the distribution of complete sufficient statistics of the nuisance parameters. Using this conditional distribution we have derived the asymptotic Uniformly Most Powerful Unbiased (UMPU) tests for testing hypothesis (i) one parameter …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 35–41 Read article
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On Uniformly Most Powerful Tests for Truncated Parameters of several One-Parameter-Truncated Family of Distributions
Abstract: In this paper we have obtained Uniformly Most Powerful (UMP) Tests for testing the truncated parameters with its specific value of one-parameter-truncated family of distributions which needs the distribution of order statistics. Having derived these distributions, the UMP tests have been obtained. Further the power functions have been given for different values of the parameters. Also the results of the test and power function have been applied to some specific …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 2, 2019 · pp. 1–9 Read article
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Asymptotic Test for Parameters of Two Power Function Distributions
Abstract: In this article we have presented some of asymptotic distributions related to two power function distributions. The Asymptotic conditional distribution of complete sufficient statistics of the parameter of interest is obtained by conditioning the distribution of complete sufficient of nuisance parameter is held fixed, Using this conditional distribution we have derived the asymptotic Uniformly Most Powerful Unbiased (UMPU) tests for testing hypotheses (i) one parameter is larger than the another …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 17–21 Read article