A STUDY ON FRACTIONAL POLYNOMIAL REGRESSION

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dc.contributor.authorMUHAMMAD, Musa Uba
dc.date.accessioned2017-12-14T16:06:31Z
dc.date.available2017-12-14T16:06:31Z
dc.date.issued2015-06
dc.descriptionA THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA. IN PARTIAL FULFILLMENT OF THE REQUIMENT FOR THE AWARD OF A MASTER OF SCIENCE DEGREE IN STATISTICS, DEPARTMENT OF MATHEMATICS, AHMADU BELLO UNIVERSITY, ZARIA, NIGERIA. JUNE,en_US
dc.description.abstractThis research work was carried out on fractional polynomial regression model, by fitting continuous covariates and grouped covariates. A new median algorithm method for grouping continuous covariate was proposed. A generalized linear model was fitted for the fractional polynomial using two different approaches on a set of experimental design data to study the effect of nitrogen fertilizer(x1) and manure(x2) on cowpea variety. When a proposed method by Royston and Altman was used, the algorithm for the selection of factors with significant effect converged at φ(1, 1).On the other hand, when the study applied ordinary fractional polynomial regression model, it was observed that, for fertilizer the algorithm for the selection of factors with significant effect converged at φ(x1, 3), for the manure, the algorithm for the selection of factors with significant effect converged at φ(x2, -2).en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9726
dc.language.isoenen_US
dc.subjectFRACTIONAL,en_US
dc.subjectPOLYNOMIAL,en_US
dc.subjectREGRESSIONen_US
dc.titleA STUDY ON FRACTIONAL POLYNOMIAL REGRESSIONen_US
dc.typeThesisen_US
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