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Modern statistics for the life sciences/ Alan Grafen and Rosie Hails

By: Grafen, Alan Contributor(s): Hails, Rosie Material type: Text

TextPublication details: Oxford: Oxford University Press, 2008Description: xv, 351 p. : ill. ; 25 cmISBN: 9780199252312Subject(s): Mathematical statistics | Life sciences--Statistical methodsDDC classification: 519.502457

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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	519.502457 GRA/M (Browse shelf(Opens below))	Available		P03228

Total holds: 0

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.

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