This course attempts to answer the question ÒHow should an experiment or
survey be designed? Practical issues of designing experiments and surveys and
resulting mathematical problems arising from them are discussed.
The course complements M2S2 and M3S7.
Principles of experimental design. Latin squares. Factorial experiments.
Taguchi methods. Optimal designs. Principles of sampling. Stratification.
Multi-stage sampling. Multi-phase sampling. Sample size estimation
Additional material from - Optimal designs for nonlinear models, optimal
block designs, advanced theory of factorial experiments, advanced sampling theory.