The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the biological, genetic, health, industrial, and psychological sciences. Co-authored by Sir David Cox, the pre-eminent statistician in the field, this book provides in-depth discussions that set forth the essential principles of the subject. It focuses on developing the models that form the basis for detailed analyses as well as on the statistical techniques themselves. The authors include a variety of examples from areas such as clinical trial design, plant and animal breeding, industrial design, and psychometrics.
Inhaltsverzeichnis
Key Models and Concepts. One-Way Balanced Case. More General Balanced Arrangements. Unbalanced Situations. Discrete Data. Non-Normal Data. Model extensions and Criticism. Appendix. References.
