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Research Article Open access CC BY 4.0

Statistical Analysis of Mother-to-Child HIV Transmission Rate Using a Weibull-Exponential Inverse Exponential Distribution

Adana’a Felix Chama, Emmanuel Remi Omoboriowo, Gerald Ikechukwu Onwuka, Terna Godfrey Ieren

International STD Research & Reviews · pp. 1–11 · Published 13 Jan 2021

10.9734/ISRR/2021/v10i130119

Abstract

Distribution functions, their properties and interrelationships play a significant role in modeling naturally occurring phenomena. Numerous standard distributions have been extensively used over the past decades for modeling data in several fields, however, generalizing these standard distributions has produced several compound distributions that are more flexible compared to the baseline distributions. Acquired immune deficiency syndrome is a disease caused by human immunodeficiency virus (HIV) that leads to a continuous decay of the human body immune system. Over the past few years, the rate of mother-to-child transmission of HIV has been on a non-decreasing trend in Nigeria and hence becoming a threat to the health of the nation. The Weibull generalized family of distributions has been efficient in developing new continuous probability distributions with additional two shape parameters. In this paper, a Weibull-based model has been proposed and it is called “a Weibull-Exponential Inverse Exponential distribution”. The properties, estimation of parameters and application of the new distribution are presented and discussed in this paper. Adequate application and investigation of the new model was done using a dataset on the rate of mother-to-child transmission of HIV and the result was compared with that of other competing models.

Weibull-G family Weibull-exponential inverse exponential distribution properties maximum likelihood estimation application.

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Cited by 2

Modelling Mother-To-Child HIV Transmission Rate in Nigeria Using a Lindley-Lomax Distribution

Blessing Uke Agbor, U. F. Abbas, S. Hamma · Asian Journal of Probability and Statistics · 2022

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