A discrete analogue of odd Weibull-G family of distributions: properties, classical and Bayesian estimation with applications to count data.

ABSTRACT: In the statistical literature, several discrete distributions have been developed so far. However, in this progressive technological era, the data generated from different fields is getting complicated day by day, making it difficult to analyze this real data through the various discrete distributions available in the existing literature. In this context, we have proposed a new flexible family of discrete models named discrete odd Weibull-G (DOW-G) family. Its several impressive distributional characteristics are derived. A key feature of the proposed family is its failure rate function that can take a variety of shapes for distinct values of the unknown parameters, like decreasing, increasing, constant, J-, and bathtub-shaped. Furthermore, the presented family not only adequately captures

SUBMITTER: El-Morshedy M 

PROVIDER: S-EPMC9336501 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature