May 16, 2024
Morad Alizadeh

Morad Alizadeh

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Statistics
Phone: 0
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A Study on A New Type 1 Half-Logistic Family of Distributions and Its Applications
Type Article
Keywords
Journal Statistics, Optimization and Information Computing
DOI
Researchers Morad Alizadeh (First researcher) , Mahdi Rasekhi (Fourth researcher)

Abstract

In this paper, we propose a new class of continuous distributions with two extra shape parameters called the a new type I half logistic-G family of distributions. Some of important properties including ordinary moments, quantiles, moment generating function and mean deviations are obtained. To estimate the model parameters, the maximum likelihood method is also applied by means of Monte Carlo simulation study. A new location-scale regression model based on the new type I half logistic-Weibull distribution is then introduced. Applications of the proposed family is demonstrated in many fields such as survival analysis and univariate data fitting. Empirical results show that the proposed models provide better fits than other well-known classes of distributions in many application fields.