Monday, May 10, 2021

Iris Publishers- Open access Journal of Annals of Biostatistics & Biometric Applications | A Chen Type Generated Family of Distributions


Authored by Clement Boateng Ampadu*

Abstract

Inspired by [1] and [2] we introduce a new Chen type generated family of distributions and show a sub-model of this broad class of statistical distributions is a good fit to real-life data. Our hope is that readers will consider investigating some properties and applications of this new class of distributions.

Contents

The New Family Illustrated

We begin with the following

Definition 2.1.1: Let T be a random variable with PDF g (t ) and CDF G(t ), and let X be a random variable with CDF F (x) ,the new Chen generated family of distributions (“ CT − X ” for short) is defined by the following integral for its CDF

irispublishers-openaccess-biostatistics-biometric-applications

the Proposition immediately above we have the following Theorem 2.1.3: The CDF of Chen Exponential-Normal is given by

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Obviously, the PDF can be obtained upon differentiating the CDF above. We write W ∼ CEN(λ,β ,c, d, f ) , if W is a Chen Exponential-Normal random variable. The Chen Exponential Normal distribution is a good fit to real life data as shown below [Figure 1].

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