Modern statistics for the life sciences/
Grafen, Alan
Modern statistics for the life sciences/ Alan Grafen and Rosie Hails - Oxford: Oxford University Press, 2008. - xv, 351 p. : ill. ; 25 cm.
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.
9780199252312
Mathematical statistics
Life sciences--Statistical methods
519.502457 / GRA/M
Modern statistics for the life sciences/ Alan Grafen and Rosie Hails - Oxford: Oxford University Press, 2008. - xv, 351 p. : ill. ; 25 cm.
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.
9780199252312
Mathematical statistics
Life sciences--Statistical methods
519.502457 / GRA/M