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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 Poisson-G Family of Distributions
Type
JournalPaper
Keywords
Odd Log-Logistic-G family; Poisson-G family; Monte-Carlo simulation
Year
2018
Journal journal of mathematical extension
DOI
Researchers Mahdi Rasekhi

Abstract

We propose a new class of continuous distributions with two extra shape parameters named the Odd Log-Logistic Poisson-G family. Some of its mathematical properties including moments, quantile, generating functions and order statistics are obtained. We estimate the model parameters by the maximum likelihood method and present a Monte Carlo simulation study. The importance of the proposed family is demonstrated by means of three real data applications. Empirical results indicate that proposed family provides better ts than other well-known classes of distributions in real applications.