In this paper, we propose a new class of distributions called the Lindley generator with one extra parameter to generate many continuous distributions. The new distribution contains several distributions as submodels, such as Lindley-Exponential, Lindley-Weibull, and Lindley- Lomax. Some mathematical properties of the new generator, including ordinary moments, quantile and generating functions, limiting behaviors,
some entropy measures and order statistics, which hold for any baseline model, are presented. Then, we discuss the maximum likelihood
method to estimate model parameters. The importance of the new generator is illustrated by means of three real data sets. Applications
show that the new family of distributions can provide a better fit than several existing lifetime models.
Lindley distribution Lomax distribution Weibull distribution Estimation Generating Function Maximum Likelihood Moments Entropy
Primary Language | English |
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Subjects | Mathematical Sciences |
Journal Section | Statistics |
Authors | |
Publication Date | December 1, 2017 |
Published in Issue | Year 2017 Volume: 46 Issue: 6 |