The Weibull-Gamma Distribution: Properties and Applications
Hadeel S. Klakattawi
Abstract
Open-access reader
Hadeel S. Klakattawi
Abstract
Open-access reader
A new member of the Weibull-generated (Weibull-G) family of distributions-namely the Weibull-gamma distribution-is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are considered. Several properties of the new distribution are studied. The maximum likelihood method is applied to obtain an estimation of the parameters of the Weibull-gamma distribution. The usefulness of the proposed distribution is examined by means of five applications to real datasets.
OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A new member of the Weibull-generated (Weibull-G) family of distributions-namely the Weibull-gamma distribution-is proposed. This four-parameter distribution can provide great flexibility in modeling different data distribution shapes. Some special cases of the Weibull-gamma distribution are considered. Several properties of the new distribution are studied. The maximum likelihood method is applied to obtain an estimation of the parameters of the Weibull-gamma distribution. The usefulness of the proposed distribution is examined by means of five applications to real datasets.
Key concepts: Weibull distribution, Generalized gamma distribution, Gamma distribution, Exponentiated Weibull distribution, Weibull modulus, Distribution fitting, Inverse-gamma distribution, Distribution (mathematics)