Title
The Exponentiated Truncated Inverse Weibull-Generated Family of Distributions with Applications
Abstract
In this paper, we propose a generalization of the so-called truncated inverse Weibull-generated family of distributions by the use of the power transform, adding a new shape parameter. We motivate this generalization by presenting theoretical and practical gains, both consequences of new flexible symmetric/asymmetric properties in a wide sense. Our main mathematical results are about stochastic ordering, uni/multimodality analysis, series expansions of crucial probability functions, probability weighted moments, raw and central moments, order statistics, and the maximum likelihood method. The special member of the family defined with the inverse Weibull distribution as baseline is highlighted. It constitutes a new four-parameter lifetime distribution which brightensby the multitude of different shapes of the corresponding probability density and hazard rate functions. Then, we use it for modelling purposes. In particular, a complete numerical study is performed, showing the efficiency of the corresponding maximum likelihood estimates by simulation work, and fitting three practical data sets, with fair comparison to six notable models of the literature.
Year
DOI
Venue
2020
10.3390/sym12040650
SYMMETRY-BASEL
Keywords
DocType
Volume
truncated family of distributions,inverse Weibull distribution,moments,order statistics,maximum likelihood method,simulation,data analysis
Journal
12
Issue
Citations 
PageRank 
4
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Abdullah M. Almarashi104.73
Mohammed Elgarhy205.41
Farrukh Jamal306.08
Christophe Chesneau400.34