Special Issue 2022 – Call for Papers
A New Role for Statistics: The Joint Special Issue of "Statistics in Transition New Series" (SiTns) and "Statystyka Ukraïny" (SU)
Abdelfattah Mustafa https://orcid.org/0000-0002-8551-6115 , M. I. Khan https://orcid.org/0000-0002-5793-9786

© Abdelfattah Mustafa, M. I. Khan. Article available under the CC BY-SA 4.0 licence


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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.


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


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