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A New Scale-Invariant Lindley Extension Distribution and Its Applications
Author(s) -
Mohamed Kayid,
Rayof Alskhabrah,
Arwa M. Alshangiti
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/3747753
Subject(s) - estimator , mathematics , bathtub , quantile , generalization , extension (predicate logic) , residual , invariant (physics) , consistency (knowledge bases) , maximum likelihood , statistics , discrete mathematics , algorithm , computer science , mathematical analysis , archaeology , mathematical physics , history , programming language
A new scale-invariant extension of the Lindley distribution and its power generalization has been introduced. The moments and the moment-generating functions of the proposed models have closed forms. The failure rate, the mean residual life, and the α -quantile residual life functions have been explored. The failure rate function of these models accommodates increasing, bathtub-shaped, and increasing then bathtub-shaped forms. The parameters of the models have been estimated by the maximum likelihood method for the complete and right-censored data. In a simulation study, the efficiency and consistency of the maximum likelihood estimator have been investigated. Then, the proposed models were fitted to four data sets to show their flexibility and applicability.

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