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Fundamental concepts in the design of experiments /
Charles R. Hicks.
edition
4th ed.
imprint
New York : Oxford University Press, c1993.
description
xii, 509 p. : ill. ; 24 cm.
ISBN
0195105818, 9780195105810
format(s)
Book
Holdings
Subjects
More Details
imprint
New York : Oxford University Press, c1993.
isbn
0195105818
9780195105810
catalogue key
964368
 
Includes bibliographical references and index.
A Look Inside
Table of Contents
Preface
The Experiment, the Design, and the Analysis
Introduction to Experimental Design
The Experiment
The Design
The Analysis
Examples
Summary in Outline
Further ReadingProblems
Review of Statistical Inference
Introduction
Estimation
Tests of Hypothesis
The Operating Characteristic Curve
How Large a Sample?
Application to Tests on Variances
Application to Tests on Means
Assessing Normality
Applications to Tests on Proportions
Analysis of Experiments with SAS
Further ReadingProblems
Single-Factor Experiments with No Restrictions on Randomization
Introduction
Analysis of Variance Rationale
After ANOVA--What?
Tests on Means
Confidence Limits on Means
Components of Variance
Checking the Model
SAS Programs for ANOVA and Tests after ANOVA
Summary
Further ReadingProblems
Single-Factor Experiments: Randomized Block and Latin Square Designs
Introduction
Randomized Complete Block Design
ANOVA Rationale
Missing Values
Latin Squares
Interpretations
Assessing the Model
Graeco-Latin Squares
Extensions
SAS Programs for Randomized Blocks and Latin Squares
Summary
Further ReadingProblems
Factorial Experiments
Introduction
Factorial Experiments: An Example
Interpretations
The Model and Its Assessment
ANOVA Rationale
One Observation Per Treatment
SAS Programs for Factorial Experiments
Summary
Further ReadingProblems
Fixed, Random, and Mixed Models
Introduction
Single-Factor Models
Two-Factor Models
EMS Rules
EMS Derivations
The Pseudo-F Test
Expected Mean Squares Via Statistical Computing Packages
Remarks
Repeatability and Reproducibility for a Measurement System
SAS Problems for Random and Mixed Models
Further ReadingProblems
Nested and Nested-Factorial Experiments
Introduction
Nested Experiments
ANOVA Rationale
Nested-Factorial Experiments
Repeated-Measures Design and Nested-Factorial Experiments
SAS Programs for Nested and Nested-Factorial Experiments
SummaryFurther ReadingProblems
Experiments of Two or More Factors: Restrictions on Randomization
Introduction
Factorial Experiment in a Randomized Block Design
Factorial Experiment in a Latin Square Design
Remarks
SAS Programs
SummaryProblems
2f Factorial Experiments
Introduction
2 Squared Factorial
2 Cubed Factorial
2f Remarks
The Yates Method
Analysis of 2f Factorials When n=1
Some Commments about Computer Use
Summary
Further ReadingProblems
3f Factorial Experiments
Introduction
3 Squared Factorial
3 Cubed Factorial
Computer Programs
SummaryProblems
Factorial Experiment: Split-Plot Design
Introduction
A Split-Plot Design
A Split-Split-Plot Design
Using SAS to Analyze a Split-Plot Experiment
Summary
Further ReadingProblems
Factorial Experiment: Confounding in Blocks
Introduction
Confounding Systems
Block Confounding, No Replication
Block Confounding with Replication
Confounding in 3F Factorials
SAS Progrms
Summary
Further ReadingProblems
Fractional Replication
Introduction
Aliases
2f Fractional Replications
Plackett-Burman Designs
Design Resolution
3f-k Fractional Factorials
SAS Programs
Summary
Further ReadingProblems
The Taguchi Approach to the Design of Experiments
Introduction
The L4 (2 Cubed) Orthogonal Array
Outer Arrays
Signal-To-Noise Ratio
The L8 (2 7) Orthogonal Array
The L16 (2 15) Orthogonal Array
The L9 (3 4) Orthogonal Array
Some Other Taguchi Designs
Summary
Further ReadingProblems
Regression
Introduction
Linear Regression
Curvilinear Regression
Orthogonal Polynomials
Multiple Regression
Summa
Table of Contents provided by Publisher. All Rights Reserved.

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