December 18, 2025
Morad Alizadeh

Morad Alizadeh

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

Research

Title The Alpha Power Modified Weibull-Geometric Distribution: A Comprehensive Mathematical Framework with Simulation, Goodness-of-fit Analysis and Informed Decision making using Real Life Data
Type Article
Keywords
Compounding, Failure Times, Maximum Likelihood Estimation, Lifetime Distribution, Series Structure
Journal Statistics, Optimization and Information Computing
DOI https://doi.org/10.19139/soic-2310-5070-2607
Researchers Magrisha Namsaw (First researcher) , Bhanita Das (Second researcher) , Partha Jyoti Hazarika (Third researcher) , Morad Alizadeh (Fourth researcher)

Abstract

A new lifetime distribution by compounding the Alpha Power Modified Weibull distribution, named Alpha Power Modified Weibull-Geometric distribution is introduced and discussed.The compounding of the distribution is motivated from the failure time of the system with series structure, where only the minimum lifetime value is considered. Various Statistical properties of the proposed distribution are investigated. Maximum likelihood estimation method is used to estimate the model parameter. To assess the performance of the proposed method, Monte Carlo simulation study is conducted using various choices of effective sample size and parameter value. Finally, to illustrate the capability and flexibility of the proposed distribution, three real life data sets are considered and showed that the proposed distribution is more compatible by comparing with other competing lifetime distributions.