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Modern statistics for the life sciences

Author: Alan Grafen; Rosie Hails
Publisher: Oxford : Oxford University Press, 2003.
Edition/Format:   Book : English : ReprView all editions and formats
Database:WorldCat
Summary:
Model formulae represent a powerful methodology for describing, discussing, understanding, and performing that large part of statistical tests known as linear statistics. The book aims to put this methodology firmly within the grasp of undergraduates.
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Document Type: Book
All Authors / Contributors: Alan Grafen; Rosie Hails
ISBN: 0199252319 9780199252312
OCLC Number: 488916093
Notes: På omslaget: Learn how to analyse your experiments.
Description: xv, 351 s. : ill.
Contents: An introduction to the analysis of variance; Regression; Models, parameters and GLMs; Using more than one explanatory variable; Designing experiments - keeping it simple; Combining continuous and categorical variables; Interactions - getting more complex; Checking the models A - Independence; Checking the models B - The other three assumptions; Model selection I - Principles of model choice and designed experiments; Model selection - II; Data sets with several explanatory variables; Random effects; Categorical data; What lies beyond?; Answers to exercises; Revision section - The basics --
Appendices: The meaning of p-values and confidence intervals; Analytical results about variances of sample means; Probability distributions.
Responsibility: Alan Grafen, Rosie Hails.

Abstract:

Model formulae represent a powerful methodology for describing, discussing, understanding, and performing that large part of statistical tests known as linear statistics. The book aims to put this methodology firmly within the grasp of undergraduates.

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