Modern statistics for the life sciences

Forfatter:
Alan Grafen
Rosie Hails
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.
Note: 
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.
E-bog

Modern statistics for the life sciences (Engelsk)

Grundigt bearbejdet (Engelsk)
Bognummer: 
613297
Nota udgivelsesår: 
2013
Udgave: 
Oxford University Press, 2002
ISBN: 
0199252319