Characteristics of the GLLE Family of Lifetime Distributions, and Applications

ABSTRACT. A Generalized Log-Logistic (GLL) family of lifetime distributions is one in which any pair of distributions are related through a GLL transformation, for some (non-negative) value of the transformation parameter (the odds function of the second distribution is the power of the odds function of the first distribution). We consider GLL families generated from an exponential distribution. We derive some useful characteristics of these distributions; moreover, we discuss the hazard rates and Kullback-Leibler divergence, then illustrate the usefulness of this distribution family by fitting real data sets.

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Publication Details

Journal
Journal of Probability and Statistical Science
Published
2024-11-04
DOI
https://doi.org/10.37119/jpss2024.v22i1.782
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Characteristics of the GLLE Family of Lifetime Distributions, and Applications

Ping Sa, James U. Gleaton, Sami M. Hamid
Journal of Probability and Statistical Science
Statistical Distribution Estimation and Applications
article

Characteristics of the GLLE Family of Lifetime Distributions, and Applications

Ping Sa, James U. Gleaton, Sami M. Hamid
article en

Abstract

ABSTRACT. A Generalized Log-Logistic (GLL) family of lifetime distributions is one in which any pair of distributions are related through a GLL transformation, for some (non-negative) value of the transformation parameter (the odds function of the second distribution is the power of the odds function of the first distribution). We consider GLL families generated from an exponential distribution. We derive some useful characteristics of these distributions; moreover, we discuss the hazard rates and Kullback-Leibler divergence, then illustrate the usefulness of this distribution family by fitting real data sets.

Journal of Probability and Statistical ScienceVol. 22(1)
University of North Florida (US)
Openalex Percentile: Top 80%
Statistical Distribution Estimation and Applications
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