The Kumaraswamy Transmuted-G Family of Distributions: Properties and Applications

Autor: Ayman Alzaatreh, Gauss M. Cordeiro, Ahmed Z. Afify, Zohdy M. Nofal, Haitham M. Yousof
Rok vydání: 2021
Předmět:
Zdroj: Journal of Data Science. 14:245-270
ISSN: 1683-8602
1680-743X
DOI: 10.6339/jds.201604_14(2).0004
Popis: We introduce a new class of continuous distributions called the Kumaraswamy transmuted-G family which extends the transmuted class defined by Shaw and Buckley (2007). Some special models of the new family are provided. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, generating function, Renyi and Shannon entropies, order statistics and probability weighted moments are derived. The maximum likelihood is used for estimating the model parameters. The flexibility of the generated family is illustrated by means of two applications to real data sets.
Databáze: OpenAIRE