Bibframe Work
Introduction
Some key ideas
Experimental strategies
The choice of a model
Models and least squares
Criteria for a good experiment
Standard designs
The analysis of experiments
Optimum design theory
Criteria of optimality
D-optimum designs
Algorithms for the construction of exact D-optimum designs
Optimum experimental design with SAS
Experiments with both qualitative and quantitative factors
Blocking response surface designs
Mixture experiments
Non-linear models
Bayesian optimum designs
Design augmentation
Model checking and designs for discriminating between models
Compound design criteria
Generalized linear models
Response transformation and structured variances
Time-dependent models with correlated observations
Further topics
Exercises.
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