000			01341nam a2200181Ia 4500
020			_a9780199252312
040			_cCUS
082			_a519.502457 _bGRA/M
100			_aGrafen, Alan _9778
245		0	_aModern statistics for the life sciences/ _cAlan Grafen and Rosie Hails
260			_aOxford: _bOxford University Press, _c2008.
300			_axv, 351 p. : _bill. ; _c25 cm.
505			_a1. 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.
650			_aMathematical statistics _9779
650			_aLife sciences--Statistical methods _9780
700			_aHails, Rosie _9781
942			_cWB16
999			_c148568 _d148568