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On the Extended Generalized Inverted Kumaraswamy Distribution. | LitMetric

On the Extended Generalized Inverted Kumaraswamy Distribution.

Comput Intell Neurosci

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

Published: March 2022

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, raw moment, generating function, mean deviation (md), etc.) are provided. The estimates for parameters of new 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872654PMC
http://dx.doi.org/10.1155/2022/1612959DOI Listing

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