FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

GOODNESS OF FIT TESTS FOR SOME GENERALIZED DISTRIBUTIONS
Pages: 241-246
Ifeyinwa Vivian Omekam and Adebowale Olusola Adejumo


keywords: Goodness of fit; Lehmann alternatives, Marshall, Olkin methods

Abstract

Analysis of data without a pre-knowledge of the distribution that describes data may lead to misleading or irrelevant result. Distribution fitting to data often lead to the selection of the best fitting distribution for data analysis. In this article, some existing distributions are fitted to Maternal Mortality Ratio (MMR) data. Using the best fitting distribution obtained as base distribution, generalized distributions having additional parameters are then derived and subsequently fitted to MMR to assess goodness of fit. Generalized distributions improved goodness of fit.

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