May 6, 2024
Fazlollah Lak

Fazlollah Lak

Academic Rank: Associate professor
Address:
Degree: Ph.D in Statistics
Phone: 077
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title The Odd Log-Logistic Generalized Half-Normal Lifetime Poisson Model
Type Article
Keywords
Journal Pakistan Journal of Statistics and Operation Research
DOI
Researchers Fazlollah Lak (First researcher) , Morad Alizadeh (Third researcher) ,

Abstract

Recently, Corderio et al. (2016) applied a model called odd-logistic generalized half-normal distribution for describing fatigue lifetime data, based on this model, we propose a new wider model with a strong physical motivation called the odd-log-logistic generalized half-normal poisson distribution which is commonly used in reliability studies and modeling maximum of a random number of lifetime variables. Various of its structural properties are derived. The method of maximum likelihood is adapted to estimate the model parameters and its potentiality is illustrated with applications to two real fatigue data sets. For different parameter settings and sample sizes, some simulation studies compare the performance of the new lifetime model.