This core text is a self-contained course in statistics, covering both the general linear model (including regression and analysis of variance) and the generalized linear model. The authors review the prerequisite methods and ideas in a concise and clear way, and the material is application-oriented, with the software package GENSTAT for Windows integrated into the text. The basics of GENSTAT are introduced, then used in conjunction with a review of simple linear regression, moving on to more sophisticated analyses, such as multiple linear regression, analysis of variance, logistic regression and loglinear modelling. The final chapter consists of four data analysis case studies using techniques drawn from the whole of the book.
Rezensionen / Stimmen
Easy to read coverage of the uses and interpretation of basic statistical methods. -- Short Book Reviews: Publication of International S An excellent textbook on statistical modelling illustrating methods by way of example instead of choosing ponderous theory that will certainly benefit their intended audience which ranges from students to experienced researchers to administrators. The book is easy to read without being simplistic and is equally suited for classroom use as for self-study. Its clarity and appeal to the reader can be attributed to the fact that it has been used as the main reference for the distance learning module on Linear Statistical Modelling at the Open University. -- Statistical Methods in Medical Research This book is not only a good textbook but also a good reference for practicing statisticians through its good advice and wealth of examples. -- Technometrics Of particular value is the section giving solutions to the numerous exercises - not only numerical answers but also explanation and interpretation. -- Biometrics
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 243 mm
Breite: 173 mm
Dicke: 29 mm
Gewicht
ISBN-13
978-0-340-75985-1 (9780340759851)
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Schweitzer Klassifikation
Review of statistical concepts; introduction to GENSTAT; linear regression with one explanatory variable; one-way analysis of variance; multiple linear regression; the analysis of factorial experiments; experiments with blocking; binary regression; what are generalized linear models?; diagnostic checking; loglinear models for contingency tables; further data analysis.
