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20212026
most citedAnalyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model

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stat.ME2026

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data

Bowen Liu, Malwane M. A. Ananda, Sam Weerahandi

Log-logistic distribution is a flexible distribution that can model a wide range of failure patterns in the field of electrical, electronic and mechanical engineering and is often…

stat.ME2026

Inference on the Reliability Function with Type-I Censored Weibull Data

Bowen Liu, Malwane M. A. Ananda, Sam Weerahandi

Reliability inference based on parametric distributions is an important problem in electrical and mechanical engineering. Most existing methods rely on approximations or bootstrap…

stat.ME2023

Novel Discrete Composite Distributions with Applications to Infectious Disease Data

Bowen Liu, Malwane M. A. Ananda

It was observed that the number of cases and deaths for infectious diseases were associated with heavy-tailed power law distributions such as the Pareto distribution. While Pareto…

stat.ME2022

A Generalized Family of Exponentiated Composite Distributions

Bowen Liu, Malwane M. A. Ananda

In this paper, we propose a new class of distributions by exponentiating the random variables associated with the probability density functions of composite distributions. We also…

stat.ME2021★ 1 cited

Analyzing insurance data with an exponentiated composite Inverse-Gamma Pareto model

Bowen Liu, Malwane M. A. Ananda

Exponentiated models have been widely used in modeling various types of data such as survival data and insurance claims data. However, the exponentiated composite distribution mode…