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Lindsey, James K.

 
9780198523451: Introductory Statistics: A Modelling Approach

Sinopsis

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.

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Críticas

"Written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyze the resulting data."--Bulletin of Mathematics Books"Lindsey's book is without doubt a very useful contribution to categorical data...A great application-oriented book that researchers and students will find very interesting. A valuable addition to statistical literature; highly recommended."--Choice"I think the book could be quite useful....I also liked the topics covered." --Technometrics

Reseña del editor

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.

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9780198523468: Introductory Statistics: A Modelling Approach

Edición Destacada

ISBN 10:  0198523467 ISBN 13:  9780198523468
Editorial: Clarendon Press, 1995
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