DESCRIPTION OF COURSES

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AS 661 ADVANCED DESIGNS FOR SINGLE FACTOR EXPERIMENTS                                                                               (2L+1P) I

Objective
This is an advanced course in Design of Experiments for single factor experiments for students who wish to pursue research in Design of Experiments. This course prepares students for undertaking research in this area and also helps them for applications of this important subject
to agricultural sciences.

Theory

UNIT I
General properties and analysis of block designs. Balancing criteria. m-associate partially balanced incomplete block (PBIB) designs and their association schemes including lattice designs - properties and construction. Properties and construction of mutually orthogonal latin squares.

UNIT II
Designs for two - way elimination of heterogeneity including lattice square designs. Designs for test treatment - control(s) comparisons. Nested designs, mating designs, cyclic designs, block designs with nested rows and columns.

UNIT III
Optimality criteria and optimality of designs, robustness of designs against missing observation, presence of outlying observation(s), presence of systematic trend, model inadequacy etc. Diagnostics in design of experiments.

Practicals
Analysis of data from block designs, PBIB designs, Lattice designs. Analysis of designs for two way elimination of heterogeneity, Analysis of augmented designs, Analysis of designs for test treatment - Control(s) Comparison, Analysis of mating designs. Diagnostic Study, Analysis of Lattice square designs.

Suggested Readings