PLSc 734 - Field Design II

A. Introduction

1. Fixed vs Random effects
2. GLM vs RCBD an example
3. Factorial experiment

B. Split plot and variations

1. Split-split
2. Split block
3. EMS - SAS vs S&T
4. GLM vs MIXED example
5. Estimates and contrasts

C. Confounding - factorial experiments

1. Modulo notation
2. 2³ factorial
3. 3² factorial
4. Designs for factorials
5. Generalized interaction 2^M
6. 3^M factorial
7. GLM vs MIXED example
8. Two criteria of classification

D. Confounding - non factorial experiments

1. General - pseudo factorial
2. Simple lattice
3. SAS GLM - MIXED - LATTICE

E. Analysis of covariance

1. General regression
2. CRD example
3. RCB example
4. Missing data RCB
5. Covariance in factorials

F. Combining experiments

No textbook required.

Ref books:

* Statistics in Research - Ostle

* Experimental Design - Federer

* Experimental Design - Cochran and Cox

* SAS for Mixed Models - Littell, etc