Six Sigma and Beyond: Statistics and Probability, Volume III

A

Absolute fit, 160

Adjoint of a matrix, 294

Adjusted goodness-of-fit index, 163

Akaike information criterion, 165

Alternative hypothesis, 57

Analysis

ANOVA, see Analysis of variance (ANOVA)

classification, 109, 155 “156, 266 “267

cluster, 109, 155 “156, 266 “267

confirmatory factor, 157

conjoint, 153 “154

covariance structure, 157

discriminant, 105 “106, 129 “136, 152 “153

factor, 107 “109, 143 “144, 155

latent variable, 157 “158

logit, 129 “131

MANOVA, see Multivariate analysis of variance (MANOVA)

MDA, 129, 132, 136

multiple regression, see Multiple regression analysis

multivariate, 104, 137 “138

primary, 10

secondary, 10

Analysis of variance (ANOVA)

assumptions for, 68

between-groups variability, 69, 150

commands, in software, 70 “72

definition of, 67, 150

F ratio, 69, 150 “151

heteroscedasticity impact on, 141

MANOVA, see Multivariate analysis of variance (MANOVA)

one-way, 67, 70

for regression, 97

vs. SSCP, 132

within-groups variability, 68, 150

And set, 197, 201 “202

ANOVA, see Analysis of variance (ANOVA)

Arithmetic mean, see Mean

Autocorrelation, 170 “172, 179

Average, 172 “173, 189 “190; see also Mean

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