On the Extended Generalized Inverted Kumaraswamy Distribution

Author:

Ramzan Qasim1,Qamar Sadia1,Amin Muhammad1ORCID,Alshanbari Huda M.2ORCID,Nazeer Amna3ORCID,Elhassanein Ahmed45ORCID

Affiliation:

1. Department of Statistics, University of Sargodha, Sargodha, Pakistan

2. Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

3. Department of Mathematics, COMSATS University Islamabad, Islamabad, Pakistan

4. Department of Mathematics, College of Science, University of Bisha, Bisha, Saudi Arabia

5. Department of Mathematics, Faculty of Science, Damanhour University, Damanhour, Egypt

Abstract

In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function sf , hazard rate function hrf , reverse hazard rate function rhrf , quantile function qf and median, s th raw moment, generating function, mean deviation md , etc.) are provided. The estimates for parameters of new G class are derived via maximum likelihood estimation MLE method. The special models of the proposed class are discussed, and particular attention is given to one special model, the extended generalized inverted Kumaraswamy Burr XII (EGIKw-Burr XII) model. Estimators are evaluated via a Monte Carlo simulation MCS . The superiority of EGIKw-Burr XII model is proved using a lifetime data applications.

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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