Year: 2025
Type: article
Abstract: This study introduces a new five-parameter Nakagami-Weibull distribution based on the Nakagami-generated family. The study explores the mathematical properties of the distribution and applies the maximum likelihood method for parameter estimation. Simulation is used to assess the performance of this estimation approach. The findings indicate that as the sample size increases, the accuracy of the estimates improves, resulting in reduced bias, variance, and mean squared error. The graphical analysis confirms the convergence properties of maximum likelihood estimation, reinforcing its asymptotic efficiency.
Authors: Ibrahim Abdullahi, Parawan Pijitrattana
Institutions: Yobe State University, Thammasat University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
Funder: Thammasat University
OpenAlex ID: W4415114787