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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 Extended Weibull Model for Lifetime Data
Type
JournalPaper
Keywords
Modi fied Weibull Distribution, Momemts, Maximum Likelihood, Type I Half-Logistic-G Family.
Year
2019
Journal Journal of Applied Probability and Statistics
DOI
Researchers Mahdi Rasekhi

Abstract

In this paper we introduce a new lifetime distribution called type I half-logistic modified Weibull distribution. We investigate some mathematical properties including ordinary and conditional moments, Bonferroni and Lorenz curves, mean deviations and residual and reversed residual life functions. The maximum likelihood method is used to estimate the model parameters. We provide some simulation results to assess the performance of the proposed model. Two applications to real data sets show the flexibility of the new model compared with some nested and non-nested models.