Statistical Modelling with Genstat - K. J. McConway, M. C. Jones, P. Craig Taylor

Statistical Modelling with Genstat

Buch | Softcover
512 Seiten
1999
Hodder Arnold (Verlag)
978-0-340-75985-1 (ISBN)
54,25 inkl. MwSt
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This text is a self-contained course in statistics, covering the general linear model and the generalized linear model. It reviews the prerequisite methods and ideas in a concise way, the material is application-oriented, and the software package GENSTAT for Windows is integrated into the text.
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.

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.

Erscheint lt. Verlag 27.8.1999
Zusatzinfo 149 illustrations
Verlagsort London
Sprache englisch
Maße 173 x 243 mm
Gewicht 886 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-340-75985-2 / 0340759852
ISBN-13 978-0-340-75985-1 / 9780340759851
Zustand Neuware
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