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Mahdi Rasekhi

Mahdi Rasekhi

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Mathematical Sciences and Statistics
Address:
Phone: 0813-33339843 داخلی 391

Research

Title
The odd log-logistic Topp–Leone G family of distributions: heteroscedastic regression models and applications
Type
JournalPaper
Keywords
Cure rate regression · Simulation study · Censored data · Maximum likelihood · Renyi entropy
Year
2018
Journal COMPUTATIONAL STATISTICS
DOI
Researchers Mahdi Rasekhi

Abstract

We introduce a new class of distributions and provide a comprehensive treatment of its mathematical properties. The maximum likelihood method 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.