Statistics 514: Overview and Fundamental Principles
Lecture 1. Overview and Basic Principles
Montgomery: Chapter 1 Wu and Hamada: 1.1, 1.2 and 1.3
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Statistics 514: Overview and Fundamental Principles
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Statistics 514: Over
Statistics 514: Compare Treatment Means
Lecture 5: Comparing Treatment Means Montgomery: Section 3-5
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Statistics 514: Compare Treatment Means
Linear Combination of Means
ANOVA: yij
= =
+
i
+ +
ij ij a i=1 ci i
i
Linear combination: L =
Statistics 514: Checking Model Adequacy
Lecture 4. Checking Model Adequacy
Montgomery: 3-4, 15-1.1
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Statistics 514: Checking Model Adequacy
Model Checking and Diagnostics
Model Assumptions
1 Model is correct 2 Independent observations 3
Statistics 514: Latin Square and Related Design
Lecture 7: Latin Square and Related Design
Montgomery: Section 4.2-4.3
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Statistics 514: Latin Square and Related Design
Automobile Emission Experiment
Four cars and four drivers are employed
Statistics 514: Factorial Design
Lecture 9: Factorial Design Montgomery: chapter 5
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Statistics 514: Factorial Design
Examples Example I. Two factors (A, B) each with two levels (-, +)
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Statistics 514: Factorial Design
T
Statistics 514: Concepts and Comparative Experiements
Lecture 2 Basic Concepts and Simple Comparative Experiments Montgomery: Chapter 2
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Statistics 514: Concepts and Comparative Experiements
Random Variable and probability distribution Di
Statistics 514: Blocked Designs
Lecture 6: Block Designs
Montgomery: Chapter 4
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Statistics 514: Blocked Designs
Nuisance Factor (may be present in experiment)
Has effect on response but its effect is not of interest If unknown Protecting
Statistics 514: Block 2
k
Design
Lecture 11: Blocking and Confounding in 2k design
Montgomery: Chapter 7
Fall 2005 Page 1
Statistics 514: Block 2
k
Design
Randomized Complete Block 2k Design
There are n blocks Within each block, all treatments (levl comb