The odd log-logistic Topp–Leone G family of distributions: heteroscedastic regression models and applications, By Fazlollah Lak

Research

Title	The odd log-logistic Topp–Leone G family of distributions: heteroscedastic regression models and applications
Type	Article
Keywords	—
Journal	COMPUTATIONAL STATISTICS
DOI	—
Researchers	Morad Alizadeh (First researcher) , Fazlollah Lak (Second researcher) , Mahdi Rasekhi (Third researcher) , Thiago Ramirez (Fourth researcher) , Emrah Altun (Not in first six researchers)

Abstract

We introduce a new class of distributions and provide a comprehensive treatment of itsmathematical properties. Themaximum likelihoodmethod is discussed to estimate the parameters of the new model by means of Monte-Carlo simulation study. The heteroscedastic regression models with long-term survival are introduced to model data sets with the non homogeneity of the error variances in the presence of cured individuals. The potentiality of the proposed models is illustrated by means of four real data sets.