Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/266297 
Year of Publication: 
2022
Citation: 
[Journal:] Statistics in Transition new series (SiTns) [ISSN:] 2450-0291 [Volume:] 23 [Issue:] 1 [Publisher:] Sciendo [Place:] Warsaw [Year:] 2022 [Pages:] 89-108
Publisher: 
Sciendo, Warsaw
Abstract: 
We develop a new class of distributions, namely, the odd power generalized Weibull-G powerseries (OPGW-GPS) class of distributions. We present some special classes of the proposeddistribution. Structural properties, have also been derived. We conducted a simulation studyto evaluate the consistency of the maximum likelihood estimates. Moreover, two real dataexamples on selected data sets, to illustrate the usefulness of the new class of distributions.The proposed model outperforms several non-nested models on selected data sets.
Subjects: 
Weibull-g distribution
power series
Poisson distribution
logarithmic distribution
maximum likelihood estimation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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