Journal ArticleDOI
Lindley distribution and its application
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TLDR
A treatment of the mathematical properties is provided for the Lindley distribution, which includes moments, cumulants, characteristic function, failure rate function, mean residual life function, and mean deviations.About:
This article is published in Mathematics and Computers in Simulation.The article was published on 2008-08-01. It has received 541 citations till now. The article focuses on the topics: Half-normal distribution & Exponential distribution.read more
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Power Lindley distribution and associated inference
TL;DR: A new two-parameter power Lindley distribution is introduced and its properties are discussed, which include the shapes of the density and hazard rate functions, the moments, skewness and kurtosis measures, the quantile function, and the limiting distributions of order statistics.
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Generalized Lindley Distribution
Hojatollah Zakerzadeh,Ali Dolati +1 more
TL;DR: In this paper, a three-parameter generalization of the Lindley distribution is introduced, which exhibits decreasing, increasing and bathtub hazard rate depending on its parameters, including expo- nential and gamma distributions.
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A generalized Lindley distribution
TL;DR: In this paper, a new distribution is proposed for modeling lifetime data, which has better hazard rate properties than the gamma, lognormal and the Weibull distributions, including a real data example is discussed to illustrate its applicability.
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An extended Lindley distribution
TL;DR: In this article, an extension of the Lindley distribution for lifetime data is proposed. But the authors focus on the failure rate of lifetime data and do not consider the residual lifetime of the data.
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Original article: A two-parameter weighted Lindley distribution and its applications to survival data
TL;DR: A two-parameter weighted Lindley distribution is proposed for modeling survival data that has the property that the hazard rate (mean residual life) function exhibits bathtub (upside-down bathtub) or increasing (decreasing) shapes.
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