Planning of Experiments

Preliminaries. Some Key assumptions. Designs for the reduction of error. Use of supplementary observations to reduce error. Randomization. Basic ideas about factorial experiments. Design of simple factorial experiments. Choice of number of observations. Choice of units, treatments, and observations. More about latin squares. Incomplete nonfactorial designs. Fractional replication and confounding. Cross-over designs. Some special problems.