Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/266304 
Year of Publication: 
2022
Citation: 
[Journal:] Statistics in Transition new series (SiTns) [ISSN:] 2450-0291 [Volume:] 23 [Issue:] 2 [Publisher:] Sciendo [Place:] Warsaw [Year:] 2022 [Pages:] 1-16
Publisher: 
Sciendo, Warsaw
Abstract: 
In this article, the length-biased power hazard rate distribution has introduced and investi-gated several statistical properties. This distribution reports an extension of several prob-ability distributions, namely: exponential, Rayleigh, Weibull, and linear hazard rate. Theprocedure of maximum likelihood estimation is taken for parameters. Finally, the applica-bility of the model is explored by three real data sets. To examine, the performance of thetechnique, a simulation study is extracted.
Subjects: 
length-biased
power hazard rate distribution
maximum likelihood estimation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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