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Published in: Annals of Data Science 3/2021

29-01-2020

On Discrimination Between the Lindley and xgamma Distributions

Authors: Subhradev Sen, Hazem Al-Mofleh, Sudhansu S. Maiti

Published in: Annals of Data Science | Issue 3/2021

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Abstract

For a given data set the problem of selecting either Lindley or xgamma distribution with unknown parameter is investigated in this article. Both these distributions can be used quite effectively for analyzing skewed non-negative data and in modeling time-to-event data sets. We have used the ratio of the maximized likelihoods in choosing between the Lindley and xgamma distributions. Asymptotic distributions of the ratio of the maximized likelihoods are obtained and those are utilized to determine the minimum sample size required to discriminate between these two distributions for user specified probability of correct selection and tolerance limit.

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Metadata
Title
On Discrimination Between the Lindley and xgamma Distributions
Authors
Subhradev Sen
Hazem Al-Mofleh
Sudhansu S. Maiti
Publication date
29-01-2020
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 3/2021
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-020-00243-7

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