The transmuted odd log-logistic-G family of distributions, By Morad Alizadeh

Research

Title	The transmuted odd log-logistic-G family of distributions
Type	Article
Keywords	—
Journal	JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS
DOI	—
Researchers	Morad Alizadeh (First researcher) , Seyed Morteza Najibi (Fourth researcher) , G.G Hamedani (Fifth researcher)

Abstract

A new class of models called the transmuted odd log-logistic-G family IS proposed and studied. The method of maximum likelihood is used to estimate the unknown parameters. The performance of the maximum likelihood estimators is assessed in terms of biases and mean squared errors by means of three simulation studies. The usefulness of the proposed family is illustrated by using three real data sets