Statistical Principles and Techniques in Scientific and Social Research

AvWojtek J. Krzanowski

Häftad, Engelska, 2007

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Beskrivning

This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major role in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of probability that underpin statistical methods and progresses through the developments of the nineteenth and twentieth centuries to modern concerns and solutions.Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student, by complementing courses in a wide range of substantive areas and enabling the reader to rise above the details in order to see the overall structure of the subject.

Produktinformation

Utgivningsdatum:2007-06-07
Mått:155 x 233 x 14 mm
Vikt:394 g
Format:Häftad
Språk:Engelska
Antal sidor:256
Förlag:OUP OXFORD
ISBN:9780199213092

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik
Sociologi inom Samhälle och politik
Biologi inom Naturvetenskap och teknik

Mer om författaren

Professor Krzanowski completed his PhD in Applied Statistics at Reading University in 1974. Between 1974 and 1990 he was successively Lecturer, Senior Lecturer and Reader in Applied Statistics at Reading University, and was Professor of Statistics at Exeter University from 1990 to 2005. Taking early retirement in 2005, he is now Emeritus Professor, while continuing to carry out research and to do some part-time teaching. His professional interests are in Multivariate Analysis, Statistical Modelling, Classification and Computational Methods. Publications include 5 books, over 30 contributions to books, and over 90 articles in scientific journals. He is a former Joint Editor of the Journal of the Royal Statistical Society, Series C, and has been on the Editorial Board of the Journal of Classification since its first issue in 1984.

Innehållsförteckning

Preface ; 1. Probability ; 2. Populations, samples, and data summary ; 3. Population models ; 4. Statistical inference - the frequentist approach ; 5. Statistical inference - Bayesian and other approaches ; 6. Linear models and least squares ; 7. Generalising the linear model ; 8. Association between variables ; 9. Investigating complex data sets ; 10. Special topics ; Sources and further reading ; Index