Experiments Planning, Analysis, and Optimization

ISBN-10: 0471699462

ISBN-13: 9780471699460

Edition: 2nd 2009

List price: $176.00
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Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors#151highly recognized researchers in the field#151introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians.
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Book details

List price: $176.00
Edition: 2nd
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/10/2009
Binding: Hardcover
Pages: 760
Size: 6.50" wide x 9.25" long x 0.75" tall
Weight: 2.926
Language: English

Basic Concepts for Experimental Design and Introductory Regression Analysis
Introduction and Historical Perspective
A Systematic Approach to the Planning and Implementation of Experiments
Fundamental Principles: Replication, Randomization, and Blocking
Simple Linear Regression
Testing of Hypothesis and Interval Estimation
Multiple Linear Regression
Variable Selection in Regression Analysis
Analysis of Air Pollution Data
Practical Summary
Experiments with a Single Factor
One-Way Layout
Multiple Comparisons
Quantitative Factors and Orthogonal Polynomials
Expected Mean Squares and Sample Size Determination
One-Way Random Effects Model
Residual Analysis: Assessment of Model Assumptions
Practical Summary
Experiments with More Than One Factor
Paired Comparison Designs
Randomized Block Designs
Two-Way Layout: Factors With Fixed Levels
Two-Way Layout: Factors With Random Levels
Multi-Way Layout
Latin Square Designs: Two Blocking Variables
Graeco-Latin Square Designs
Balanced Incomplete Block Designs
Split-Plot Designs
Analysis of Covariance: Incorporating Auxiliary Information
Transformation of the Response
Practical Summary
Full Factorial Experiments at Two Levels
An Epitaxial Layer Growth Experiment
Full Factorial Designs at Two Levels: A General Discussion
Factorial Effects and Plots
Using Regression to Compute Factorial Effects
ANOVA Treatment of Factorial Effects
Fundamental Principles for Factorial Effects: Effect Hierarchy, Effect Sparsity, and Effect Heredity
Comparisons with the One-Factor-At-A-Time" Approach
Normal and Half-Normal Plots for Judging Effect Significance
Lenth's Method: Testing Effect Significance for Experiments Without Variance Estimates
Nominal-the-Best Problem and Quadratic Loss Function
Use of Log Sample Variance for Dispersion Analysis
Analysis of Location and Dispersion: Revisiting the Epitaxial Layer Growth Experiment
Test of Variance Homogeneity and Pooled Estimate of Variance
Studentized Maximum Modulus Test: Testing Effect Significance for Experiments With Variance Estimates
Blocking and Optimal Arrangement of 2k Factorial Designs in 2q Blocks
Practical Summary
Fractional Factorial Experiments at Two Levels
A Leaf Spring Experiment
Fractional Factorial Designs: Effect Aliasing and the Criteria Of Resolution and Minimum Aberration
Analysis of Fractional Factorial Experiments
Techniques for Resolving the Ambiguities in Aliased Effects
Selection of 2kp Designs Using Minimum Aberration and Related Criteria
Blocking in Fractional Factorial Designs
Practical Summary
Full Factorial and Fractional Factorial Experiments at Three.Levels
A Seat-Belt Experiment
Larger-the-Better and Smaller-the-Better Problems
3k Full Factorial Designs
3kp Fractional Factorial Designs
Simple Analysis Methods: Plots and Analysis of Variance
An Alternative Analysis Method
Analysis Strategies for Multiple Responses I: Out-Of-Spec Probabilities
Blocking in 3k and 3kp Designs
Practical Summary
Other Design and Analysis Techniques for Experiments at More Than Two Levels
A Router Bit Experiment Based on a Mixed Two-Level and Four-Level Design
Method of Replacement and Construction of 2m4n Designs
Minimum Aberration 2m4n Designs
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