An alternative method to solve the transformation problem and its application to biostatistics

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dc.contributor.authorW Ahmad, Wan Muhamad Amir
dc.date.accessioned2014-11-03T02:21:03Z
dc.date.available2014-11-03T02:21:03Z
dc.date.issued2009
dc.descriptionPhDen_US
dc.description.abstractThe aim of this research is to expose the issue of the data problems from various studies which do not fulfill the assumptions for analysis of variance (ANOVA), regression analysis, and other such procedures in detail together with the steps to overcome this problem with modifying the original of Box-Cox formula until it can be used for all the real numbers. The whole transformation analyses are emphasized on achieving normality, variance stability and independence of observations and to convert the model into a linear form. In this thesis, the SHAMIRIFF transformation method is being introduced based on some modification of Box-Cox transformation formula with some approaches to Optimization and Newton Raphson-Method. This research is mainly focus on two methods which are normally used that are diagnostic residual plots and the normal probability plot to measure the accuracy of the transformation. A deeper study on transformation has been done by using data from Box-Cox Transformation and also SHAMIRIFF transformation method. The residual results from both methods are being compared relatively by using the value of Anderson Darling (AD) statistics and P statistics. The transformation is carried out for the response variables and the comparison results from both methods will provide information on the success of the transformation. All the significant results will be illustrated by using MAPLE and MINITAB software.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/281
dc.language.isoenen_US
dc.subjectChemical scienceen_US
dc.subjectTransformation problemen_US
dc.subjectBiostatisticsen_US
dc.titleAn alternative method to solve the transformation problem and its application to biostatisticsen_US
dc.typeThesisen_US
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