Analyzing experimental data by regression
(Book)

Strategy of data analysis

Data link between research objectives and analysis

Model formulation and inference

Fitting the mean model

Fitting a straight-line model

Analysis of variance

Computations for multivariable models

Coping with model violations

Case study: Dose-dependent blood pressure data

Interpreting regression coefficients in two-variable models

Data reduction by regression

Generalizing beyond the data

Comparison of candidate models

Case study: land evaluation data

Analysis of sample means

Case study: potato leafhopper survival data

Analysis of cross-classified sample means

Analysis of sample means with unequal numbers of observations

Covariance analysis and comparison of regression lines

Model selection with many explanatory variables

Coping with large standard errors and unrealistic estimates

Split experimental units and repeated measures

Nonlinear models

A regression program for microcomputers

Exercises

Annotated computer output

Suggested reading

Answers to selected exercises

Index.