In this article, the type I half logistic power inverse power Ailamujia (TIHLIPAi) distribution, which extends the inverse moment exponential model, is introduced and examined. This model’s statistical features, such as moments and conditional moments are derived. To estimate distribution parameters, statistical inference using the maximum likelihood technique of estimation is performed. The versatility of the new distribution is demonstrated through applications of the TIHLIPAi model to real-world data set.

type I half logistic family, power Ailamujia model, simulation, application.

Received: February 3, 2022; Accepted: April 6, 2022; Published: April 18, 2022

How to cite this article: A. S. Al-Moisheer and Naif Alotaibi, A new extension of inverse power Ailamujia distribution with application, Advances and Applications in Statistics 76 (2022), 1-22. http://dx.doi.org/10.17654/0972361722033

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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