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- W2037069524 abstract "The exponential–Poisson (EP) distribution with scale and shape parameters β>0 and λ∈ℝ, respectively, is a lifetime distribution obtained by mixing exponential and zero-truncated Poisson models. The EP distribution has been a good alternative to the gamma distribution for modelling lifetime, reliability and time intervals of successive natural disasters. Both EP and gamma distributions have some similarities and properties in common, for example, their densities may be strictly decreasing or unimodal, and their hazard rate functions may be decreasing, increasing or constant depending on their shape parameters. On the other hand, the EP distribution has several interesting applications based on stochastic representations involving maximum and minimum of iid exponential variables (with random sample size) which make it of distinguishable scientific importance from the gamma distribution. Given the similarities and different scientific relevance between these models, one question of interest is how to discrim..." @default.
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- W2037069524 date "2013-10-21" @default.
- W2037069524 modified "2023-09-27" @default.
- W2037069524 title "A likelihood ratio test to discriminate exponential–Poisson and gamma distributions" @default.
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- W2037069524 doi "https://doi.org/10.1080/00949655.2013.847097" @default.
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