Title:
A comparative study of traditional and kullback-leibler divergence of survival functions estimators for the parameter of lindley distribution

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dc.contributor.authorSultan Parveen
dc.contributor.authorSanjay Kumar Singh
dc.contributor.authorUmesh Singh
dc.contributor.authorDinesh Kumar
dc.date.accessioned2026-02-07T09:09:32Z
dc.date.issued2019
dc.description.abstractA new point estimation method based on Kullback-Leibler divergence of survival functions (KLS), measuring the distance between an empirical and prescribed survival functions, has been used to estimate the parameter of Lindley distribution. The simulation studies have been carried out to compare the performance of the proposed estimator with the corresponding Least square (LS), Maximum likelihood (ML) and Maximum product spacing (MPS) methods of estimation. © 2019, Austrian Statistical Society. All rights reserved.
dc.identifier.doi10.17713/ajs.v48i5.772
dc.identifier.issn1026597X
dc.identifier.urihttps://doi.org/10.17713/ajs.v48i5.772
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/34529
dc.publisherAustrian Statistical Society
dc.subjectKullback-Leibler divergence
dc.subjectLeast squares (LS) estimator
dc.subjectLindley distribution
dc.subjectMaximum likelihood (ML) estimator
dc.subjectMaximum product spacings (MPS) estimator
dc.subjectSimulation
dc.subjectSurvival function
dc.titleA comparative study of traditional and kullback-leibler divergence of survival functions estimators for the parameter of lindley distribution
dc.typePublication
dspace.entity.typeArticle

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