The Exponentiated Power Akash Distribution:
Properties, Regression, and Applications to Infant
Mortality Rate and COVID-19 Patients’ Life Cycle

Emmanuel K Aidoo

Research Article

The Exponentiated Power Akash Distribution: Properties, Regression, and Applications to Infant Mortality Rate and COVID-19 Patients’ Life Cycle

Nwankwo M Peace, Bright Chimezie Nwankwo and Okechukwu J Obulezi*

Department of Statistics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria

Corresponding Author

Received Date: October 03, 2023; Published Date: October 18, 2023

Abstract

The new three-parameter exponentiated power Akash distribution is introduced, and some of its mathematical properties are addressed. Its parameters are estimated by maximum likelihood. A regression model is constructed based on the logarithm of the proposed distribution. The new regression model is deployed to fit COVID-19 censored data with the age of patients and diabetic index as the regressors. The usefulness of the proposed model is proved using the infant mortality rate for some selected countries in 2021.

Keywords: COVID-19 data; Exponentiated-G class; Exponentiated Power Akash distribution; Infant Mortality Rate; Model Adequacy; Regression model

Article Details

Citation

Nwankwo M Peace, Bright Chimezie Nwankwo and Okechukwu J Obulezi*. The Exponentiated Power Akash Distribution: Properties, Regression, and Applications to Infant Mortality Rate and COVID-19 Patients’ Life Cycle. Annal Biostat & Biomed Appli. 5(4): 2023. ABBA.MS.ID.000620.