Abstract

In this paper, we introduce a new generalized family of distri- butions from bounded support (0,1), namely, the Topp-Leone-G family.Some of mathematical properties of the proposed family have been studied. The new density function can be symmetrical, left-skewed, right-skewed or reverse-J shaped. Furthermore, the hazard rate function can be constant, in- creasing, decreasing, J or bathtub hazard rate shapes. Three special models are discussed. We obtain simple expressions for the ordinary and incomplete moments, quantile and generating functions, mean deviations and entropies. The method of maximum likelihood is used to estimate the model parame- ters. The flexibility of the new family is illustrated by means of three real data sets.

Highlights

  • Several generators have been defined in the literature by introducing one or more parameters to a parent distribution in order to construct more flexible models

  • (1) We study a new class of distributions based on the TL random variable called the Topp-Leone generalized (TLG) family

  • If the parent distribution follows the logistic distribution with pdf g(x; λ) = λe−λx(1 + e−λx)−2, x ∈ R and cdf G(x; λ) = (1 + e−λx)−1, the TL logistic (TLLc) pdf is given by fTLLc(x; α, λ) = 2αλe−λx (1 + e−λx)−2 {1 − (1 + e−λx)−1} × [1 − {1 − (1 + e−λx)−1}2]α−1

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Summary

A New Generalized Family of Distributions from Bounded Support

Mansoor[1,3], Ayman Alzaatreh, and M. Zubair[1,5]

Introduction
The New Generalized Family
Special models of the TLG family
Useful Expansions
Moments
Generating function
Quantile Power Series
Incomplete Moments
Mean deviations
Entropies
Estimation
Simulations
Applications
Concluding Remarks
Full Text
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