Goodness of Fit Tests for Some Generalized Distributions
No Thumbnail Available
Date
2020-04
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Federal University Wukari, Taraba State, Nigeria
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.
Description
Keywords
Goodness of fit; Lehmann alternatives, Marshall, Olkin methods
Citation
Omekam I.V. and Adejumo A.O. (2020). Goodness of Fit Tests for Some Generalized Distributions. FUW Trends in Science & Technology Journal. 5(1): 241-246. Published by Federal University Wukari, Taraba State, Nigeria