Abstract
Objectives: This paper deals with an extension of the Ishita distribution alongside a new family of distributions based upon the proposed extension.Methods: Some useful properties of the extended Ishita distribution are discussed. Estimation of the parameter has also been done by using different estimation. The extended Ishita distribution has been used to obtain a new family of distributions. Some members of the family have been discussed.Results and conclusions: The extended Ishita distribution is applied on some real data sets to check the goodness of fit of the distribution. It is found that the proposed distribution is more suitable in modeling the data used as compared with the competing distributions.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).