The length-biased power hazard rate distribution: Some properties and applications

• Authors: Abdelfattah Mustafa , M. I. Khan

Abstracts

EN

In this article, the length-biased power hazard rate distribution has introduced and investigated several statistical properties. This distribution reports an extension of several probability distributions, namely: exponential, Rayleigh, Weibull, and linear hazard rate. The procedure of maximum likelihood estimation is taken for parameters. Finally, the applicability of the model is explored by three real data sets. To examine, the performance of the technique, a simulation study is extracted.

Keywords

EN

length-biased; power hazard rate distribution; maximum likelihood estimation

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2022
• Volume: 23
• Issue: 2
• Pages: 1-16

Dates

published

2022

Contributors

author

Abdelfattah Mustafa

• Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt

• https://orcid.org/0000000285516115

author

M. I. Khan

• Department of Mathematics, Faculty of Science, Islamic University of Madinah, KSA

• https://orcid.org/0000000257939786

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Identifiers

DOI

10.2478/stattrans-2022-0013

Biblioteka Nauki

2106877