Title:
Topp–Leone Poisson Exponential Distribution: A Classical and Bayesian Approach

dc.contributor.authorAnurag Pathak
dc.contributor.authorManoj Kumar
dc.contributor.authorSanjay Kumar Singh
dc.contributor.authorUmesh Singh
dc.date.accessioned2026-02-07T11:25:26Z
dc.date.issued2023
dc.description.abstractIn this paper, we propose a new three-parameter lifetime distribution, which has increasing, decreasing and constant failure rate. The new distribution can be use on a latent complementary risk scenario. The properties of the proposed distribution are discussed, including a formal proof of its density function and an explicit algebraic formula for its quantiles, skewness, kurtosis, survival and hazard functions. Also, we have been discussed inference aspects of the model proposed via Bayesian inference by using Markov chain Monte Carlo simulation. A simulation study performed in order to investigate the classical, Bayesian properties of the proposed estimators obtained under the assumptions of non-informative priors. Further, the applicability of proposed distribution is illustrated on a real data set. © 2023, The Indian Society for Probability and Statistics (ISPS).
dc.identifier.doi10.1007/s41096-023-00159-4
dc.identifier.issn23649569
dc.identifier.urihttps://doi.org/10.1007/s41096-023-00159-4
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/44012
dc.publisherSpringer
dc.subjectBayes estimate
dc.subjectMLEs
dc.subjectMonte Carlo simulation
dc.subjectTLPE distribution
dc.titleTopp–Leone Poisson Exponential Distribution: A Classical and Bayesian Approach
dc.typePublication
dspace.entity.typeArticle

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