A new alpha power transformed family of distributions: properties and applications to the Weibull model
By Ibrahim Elbatal, Zubair Ahmad, Mohammed Elgarhy, Abdullah M. Almarashi. Journal of Nonlinear Science and its Applications, 2018
51 citations recorded by the source corpus.
In this article, a new technique of alpha-power transformation is used to propose a new class of lifetime distributions. Four special models of the new family are presented. Some mathematical properties of the proposed model including estimation of the unknown parameters using the method of maximum likelihood are discussed. For the illustrative purposes of the new proposal, a three-parameter special model of this class, namely, new alpha-power transformed Weibull distribution is considered in detail. The proposed distribution offers greater distributional flexibility and is able to model data with increasing, decreasing, and constant or more importantly with bathtub-shaped failure rates. Type-1 and Type-II censoring estimation are discussed. A simulation study based on complete sample of the new model is also carried out. Finally, the usefulness and efficiency of the new proposal is illustrated by analyzing two real data sets.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1fbba45ad876c73e15ef6b2c261d2404edc16286
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Citations in the corpus
- Sine Topp-Leone-G family of distributions: Theory and applications (2020, background): “Examples of such families are the exp-G family [35], Weibull-G family [20], Topp-Leone generated (TL-G) family [11], a new extended alpha power transformed-G [6], a new alpha power transformed-G [29], new power TL-G [17], type II general inverse exponential-G [40], truncated inverted Kumaraswamy-G [”