Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/266304 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Statistics in Transition new series (SiTns) [ISSN:] 2450-0291 [Volume:] 23 [Issue:] 2 [Publisher:] Sciendo [Place:] Warsaw [Year:] 2022 [Pages:] 1-16
Verlag: 
Sciendo, Warsaw
Zusammenfassung: 
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.
Schlagwörter: 
length-biased
power hazard rate distribution
maximum likelihood estimation
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