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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
A New Type II Half Logistic-G family of Distributions with Properties, Regression Models, System Reliability and Applications
Type
JournalPaper
Keywords
Half logistic G family; Incomplete moment; Regression; Survival; Reliability; Simulation; Estimation;
Year
2021
Journal Applications and Applied Mathematics: An International Journal (AAM)
DOI
Researchers Mahdi Rasekhi

Abstract

This study proposes a new family of distributions based on the half logistic distribution. With the new family, the base line distributions gain flexibility through additional shape parameters. The important statistical properties of the proposed family are derived. A new generalization of the Weibull distribution is used to introduce a location-scale regression model for the censored response variable. The utility of the introduced models is demonstrated in survival analysis and estimation of the system reliability. Three datasets are analyzed. According to the empirical results, it is observed that the proposed family gives better results than other existing models.