1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
Inference on Survival Reliability 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…
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…
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…
The application of accumulation tests in Peaks-Over-Threshold modeling with Norwegian Fire insurance Data
Bowen Liu, Malwane M. A. Ananda
Modeling excess remains to be an important topic in insurance data modeling. Among the alternatives of modeling excess, the Peaks Over Threshold (POT) framework with Generalized Pa…
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…