Design and Analysis of Experiments, 9th Edition

Index

• 2² factorial design
• 2³ factorial design
• 2^k factorial design
• 2^k-1fractional factorial design
• 2^k-2 design
• 2^k-p fractional factorial design
• 3² factorial design
• 3³ factorial design
• 3^k factorial design
• 3^k-1 fractional factorial design
• 3^k-p fractional factorial designs

• A
• Additivity of the Latin square
• Additivity of the RCBD
• Adjusted R²
• Agricultural era of experimentation
• Agricultural versus industrial experiments
• Alias matrix
• Aliases
• Allowed-to-vary factors
• Alternate fraction
• Alternative hypothesis
• Analysis of combined array designs
• Analysis of covariance as an alternative to blocking
• Analysis of covariance
• Analysis of variance (ANOVA)
• Analysis of variance identity for the RCBD
• Analysis of variance partition of the total sumof squares
• ANOVA F-test
• ANOVA method for estimating variance components
• Approximate F-tests
• Assumptions in the t-test

• B
• Balanced incomplete block designs (BIBD)
• Bartlett's test for equality of variances
• Bayesian D-optimal designs
• Best-guess approach to experimentation
• Blocking
• Blocking fractional factorials
• Blocking in a 2^k design
• Blocking in response surface designs
• Box plot
• Box-Behnken designs
• Box-Cox method for choosing a transformation
• Break through innovation

• C
• Canonical form of the second-order model
• Cause-and-effect diagram
• Center points in the 2^k design
• Central composite design (CCD)
• Central limit theorem
• Chi-square distribution
• Chi-square test on the variance of a normalistribution
• Coded and natural variables
• Coded variables
• Coding the data ...