A New Family of Extended Lindley Models: Properties, Estimation and Applications

Abdulrahman Abouammoh and Mohamed Kayid
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Abdulrahman Abouammoh: Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
Mohamed Kayid: Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh 11451, Saudi Arabia

Mathematics, 2020, vol. 8, issue 12, 1-13

Abstract: There are many proposed life models in the literature, based on Lindley distribution. In this paper, a unified approach is used to derive a general form for these life models. The present generalization greatly simplifies the derivation of new life distributions and significantly increases the number of lifetime models available for testing and fitting life data sets for biological, engineering, and other fields of life. Several distributions based on the disparity of the underlying weights of Lindley are shown to be special cases of these forms. Some basic statistical properties and reliability functions are derived for the general forms. In addition, comparisons among various forms are investigated. Moreover, the power distribution of this generalization has also been considered. Maximum likelihood estimator for complete and right-censored data has been discussed and in simulation studies, the efficiency and behavior of it have been investigated. Finally, the proposed models have been fit to some data sets.

Keywords: mixture models; gamma distribution; power life distribution; weights; failure rate; mean residual life (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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