Comparison of quantile regression to lognormal and gamma regression using birth weight data

Owusu Mensah, Isaac

Comparison of quantile regression to lognormal and gamma regression using birth weight data

dc.contributor.author	Owusu Mensah, Isaac
dc.date.accessioned	2016-04-08T11:23:44Z
dc.date.accessioned	2023-04-21T19:31:29Z
dc.date.available	2016-04-08T11:23:44Z
dc.date.available	2023-04-21T19:31:29Z
dc.date.issued	November,2015
dc.description	A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Mathematical Statistics,	en_US
dc.description.abstract	Over the years, positively skewed data such as data from insurance, economics, laboratory, health and so on, have been analysed using conditional mean models such as simple linear regression and logistic regression. Estimation of these models can be seriously deﬁcient if constructed on some non-gaussian settings and cannot be readily extended to non-central location which is precisely where the interest of a social science research often reside. This study therefore seeks to employ a methodology to deal with these problems. This study seeks to estimate the quantiles that describe the entire distribution and also to obtain an appropriate statistical distribution for the birth weight data. Our study used birth weight data from Komfo Anokye Teaching Hospital. Quantile, Lognormal and Gamma regression were used in the analysis and Quantile-Quantle plot and Akaike’s Information Criterion(AIC) were the goodness of ﬁt test for the selection of the distribution that ﬁtted the data well. th th th th th Finally we estimated 5 , 25 , 50 , 75 and 95 quantile regression to describe the entire distribution of the data. The lognormal also was selected as a better distribution than the gamma distribution based on their AIC values and the graph of the Q-Q plot.	en_US
dc.description.sponsorship	KNUST	en_US
dc.identifier.uri	https://ir.knust.edu.gh/handle/123456789/8586
dc.language.iso	en	en_US
dc.title	Comparison of quantile regression to lognormal and gamma regression using birth weight data	en_US
dc.type	Thesis	en_US