Introductory Statistics: A Modelling Approach has been 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 analyse the resulting data. The aim therefore is to provide a...

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Bibliographic Details

Main Author:	Lindsey, James K. (Author)
Format:	Book
Language:	English
Published:	Oxford Clarendon Press 1995
Series:	Oxford science publications
Subjects:	Analyse des données - Manuels d'enseignement supérieur Estatistica (textos introdutorios) Statistiek Statistique mathématique - Manuels d'enseignement supérieur Sozialwissenschaften Statistik Social sciences > Statistics
Summary:	Introductory Statistics: A Modelling Approach has been 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 analyse the resulting data. The aim therefore is to provide an understanding of the basic principles such as the probability distribution and the likelihood function, while at the same time giving advice at a practical level on how to design a study, collect data, record observations accurately, detect errors, and interpret the results Jim Lindsey has based this book on his introductory courses where the central theme is the use of statistical models as a way of describing the structure of data. The basic building block is the probability distribution, observed as a histogram. A model describes how such a distribution changes form in different sub-groups of a population. Moreover, the form of the distribution may itself indicate how the data were generated. Inference, from a sample to the population, centres on developing an understanding of how to interpret a likelihood function. A wide range of examples and exercises for the medical, biological, and social sciences are included
Physical Description:	XI, 214 S. graph. Darst.
ISBN:	0198523459 0198523467