Lecturer

Dr. A. Sudbury, Monash, Semester 2.

Syllabus

Geometric interpretation of least squares, ANOVA as a linear model. Principles of blocking, including randomized blocks, Latin squares, Graeco-Latin squares, balanced incomplete block designs. Sample size and power. Random factors. Determination of expected mean squares. Nested factors. Fractional factorial experiments. Confounding. Response surfaces.

Prerequisites

1. A 2nd or 3rd Year course covering one-way ANOVA, two-way ANOVA, randomised block and factorial experiments
2. Familiarity with MINITAB.
3. Multiple regression.

References

• Cox, D.R. (1958) Planning of Experiments, Wiley.
• Daniel, C. (1976) Application of Statistics to Industrial Experimentation, New York: Wiley.
• Hicks, C.R. (1982) Fundamental Concepts in the Design of Experiments, Holt, Rinehart and Winston.
• Montgomery, D.C. (1984) Design and Analysis of Experiments, Second ed., New York, Wiley.

Last updated: 30 October 2002.