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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4874

Title: Introductory statistics: the modelling approach
Authors: LINDSEY, James
Issue Date: 1995
Publisher: Clarendon Press
Abstract: Statistics is the study of variability, both systematic and random. Randon variability is most easily described by a histogram and systematic variability by changes in the shape of histograms. A natural way to study these two types of variability is through log linear and logistic models. Once these basic principles of statistical modelling have been grasped by the student, the problem of inference can be introduced through the likelihood function. Common approaches to calibrating the likelihood functions, through significance tests and Bayes theorem are briefly presented. The student is then introduced to more sophisticated statistical models: parametric distributions, classified into three groups, discreet, normal and duration distributions. With this groundwork, linear regression and ANOVA models are introduced as special cases of describing how histograms change. In a final chapter, selected topics in dependent data, from strehastic processes are presented. This book is intended for first introduction to statistics for any student at undergraduate or graduate level; of particular interest to non-mathematicians.
URI: http://hdl.handle.net/1942/4874
ISBN: 978-0198523451
Type: Book
Appears in Collections: Research publications

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