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Modern statistics for the life sciences

Author: Alan Grafen; Rosemary Hails
Publisher: Oxford ; New York : Oxford University Press, 2002.
Edition/Format:   Print book : EnglishView 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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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Alan Grafen; Rosemary Hails
ISBN: 0199252319 9780199252312
OCLC Number: 48754026
Description: xv, 351 pages : illustrations ; 25 cm
Contents: 1. introduction to analysis of variance --
2. Regression --
3. Models, parameters and GLMs --
4. Using more than one explanatory variable --
5. Designing experiments --
keeping it simple --
6. Combining continuous and categorical variables --
7. Interactions --
getting more complex --
8. Checking the models I: independence --
9. Checking the models II: the other three asumptions --
10. Model selection I: principles of model choice and designed experiments --
11. Model selection II: datasets with several explanatory variables --
12. Random effects --
13. Categorical data --
14. What lies beyond? --
15. Answers to exercises --
App. 1. meaning of p-values and confidence intervals --
App. 2. Analytical results about variances and sample means --
App. 3. Probability distributions.
Responsibility: Alan Grafen, Rosie Hails.
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Abstract:

Teaching statistics in a different way, this book provides several methods of model formulae and the General Linear Model. It is aimed at undergraduate students in the life sciences, and also for  Read more...

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'The book is well laid out and concepts are very well explained by making effective use of diagrams and geometric representations. There are many analyses of example data sets to ilustrate the Read more...

 
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