Title:
A general class of new continuous mixture distribution and application

dc.contributor.authorBrijesh P. Singh
dc.contributor.authorSandeep Singh
dc.contributor.authorUtpal Dhar Das
dc.date.accessioned2026-02-07T10:47:51Z
dc.date.issued2021
dc.description.abstractA generalization of a distribution increases the flexibility particularly in studying of a phenomenon and its properties. Many generalizations of continuous univariate distributions are available in literature. In this study, an investigation is conducted on a distribution and its generalization. Several available generalizations of the distribution are reviewed and recent trends in the construction of generalized classes with a generalized mixing parameter are discussed. To check the suitability and comparability, real data set have been used. © 2021 the author(s).
dc.identifier.doi10.28919/jmcs/5227
dc.identifier.issn19275307
dc.identifier.urihttps://doi.org/10.28919/jmcs/5227
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/38851
dc.publisherSCIK Publishing Corporation
dc.subjectBonferroni and Lorenz
dc.subjectK-S
dc.subjectMGF
dc.subjectMRLF
dc.subjectRenyi entropy
dc.titleA general class of new continuous mixture distribution and application
dc.typePublication
dspace.entity.typeArticle

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