Preface |
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ix | |
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1 | (8) |
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2 | (1) |
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3 | (2) |
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The SAS Package and multivatite Analysis |
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5 | (1) |
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6 | (3) |
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9 | (14) |
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9 | (1) |
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10 | (1) |
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Matrix Addition and Subtraction |
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11 | (1) |
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12 | (1) |
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12 | (3) |
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15 | (3) |
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Eigenvalues and Eigenvectors of a Matrix |
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18 | (3) |
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21 | (2) |
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The Multivariate Normal Distribution and Tests of Significance |
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23 | (33) |
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The Univariate Standard Normal Distribution |
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24 | (2) |
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Univariate Sampling Distributions and Statistical Inference |
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26 | (1) |
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Other Sampling Distributions |
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27 | (1) |
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Inferences About Differences Between Group Means |
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28 | (2) |
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The F Statistic and Analysis of Variance |
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30 | (2) |
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The Multivariate Normal Distribution |
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32 | (3) |
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Multivariate Sampling Distributions and Statistical Inference |
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35 | (1) |
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36 | (1) |
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Inferences About Differences Between Group Means |
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36 | (3) |
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Multivariate Analysis of Variance |
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39 | (3) |
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An Example of Multivariate Analysis of Variance Using SAS |
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42 | (6) |
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Evaluating Multivariate Normality |
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48 | (4) |
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52 | (4) |
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Factorial Multivariate Analyusis of Variance |
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56 | (29) |
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The Univariate Two-Way Analysis of Variance |
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57 | (6) |
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Fixed, Random, and Mixed Factorial Designs |
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63 | (1) |
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Two-Way Multivariate Analysis of Variance |
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64 | (4) |
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An Example of Two-Way MANOVA Using SAS |
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68 | (11) |
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More Advanced Factorial MANOVAs |
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79 | (1) |
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Designs With Unequal Observations |
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80 | (1) |
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80 | (5) |
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85 | (48) |
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Discriptive Discriminant Analysis |
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86 | (1) |
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Selecting the Discriminant Criterion |
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87 | (1) |
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Maximizing the Discriminant Criterion |
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88 | (1) |
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89 | (1) |
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Interpretation of Discriminant Functions |
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89 | (8) |
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Discriminant Function Plots |
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97 | (1) |
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Tests of Statistical Silgnificance in Discriminant Analysis |
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97 | (3) |
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An Example of Descriptive Discriminant Analysis Using SAS |
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100 | (2) |
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Factorial Descriptive Discriminant Analysis Designs |
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102 | (2) |
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Predictive Discriminant Analysis |
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104 | (1) |
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Classification Based on Generalized Distance |
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105 | (1) |
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Posterior Probability of Group Membership |
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105 | (2) |
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An Overview of the Different Types of Classification Rules |
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107 | (1) |
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Linear/Equal Prior Probability Classification Rules |
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107 | (1) |
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Linear/Unequal Prior Probability Rules |
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108 | (1) |
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Quadratic/Equal Prior Probability Rules |
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109 | (1) |
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Quadratic/Unequal Prior Probability Rules |
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110 | (1) |
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Type of Data Used for Classification |
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110 | (1) |
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The Fisher Two-Group Classification Function |
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111 | (1) |
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Evaluating Classification Accuracy |
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112 | (2) |
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Numerical Classification Example |
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114 | (15) |
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129 | (4) |
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133 | (29) |
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Multiple Correlation/Regression |
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134 | (4) |
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An Example of Regression Analysis Using SAS |
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138 | (4) |
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Discriminant Analysis and Regression Analysis |
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142 | (2) |
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Canonical Correlation Analysis |
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144 | (3) |
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Obtaining the Canonical Correlations |
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147 | (2) |
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Interpretation of Canonical Variates |
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149 | (2) |
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Tests of Significance of Canonical Correlations |
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151 | (1) |
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The Practical Importance of Canonical Correlations |
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152 | (1) |
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Numerical Example Using SAS |
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152 | (6) |
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158 | (4) |
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Principal Components and Factors Analysis |
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162 | (46) |
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164 | (1) |
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Principal Component Analysis |
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164 | (1) |
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165 | (2) |
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167 | (1) |
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Principal Component Loadings |
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168 | (4) |
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172 | (1) |
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173 | (1) |
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An Example of PCA Using SAS |
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174 | (2) |
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176 | (8) |
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184 | (3) |
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How Many Factors Should Be Used in a Factor Analysis? |
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187 | (2) |
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189 | (5) |
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194 | (1) |
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An Example of Factors Analysis Using SAS |
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195 | (8) |
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203 | (5) |
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Confirmatory Factor Analysis and Structural Equation Modeling |
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208 | (73) |
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A Short History of Confirmatory Factor Analysis |
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209 | (2) |
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Why the Term ``Structural Equation Model''? |
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211 | (2) |
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Using Diagrams to Represent Models |
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213 | (1) |
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Mathematical Representation of Structural Equation Models |
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214 | (4) |
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The Confirmatory Factor Analysis Model |
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218 | (2) |
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220 | (3) |
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The Problem of Identification |
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223 | (3) |
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226 | (17) |
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243 | (9) |
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252 | (3) |
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Second-Order Factor Analysis |
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255 | (5) |
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An Extension to a Simple Structural Equation Model |
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260 | (3) |
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A SEM With Recursive and Nonrecursive Paths |
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263 | (6) |
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269 | (12) |
Appendix A |
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281 | (9) |
Appendix B |
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290 | (18) |
References |
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308 | (7) |
Author Index |
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315 | (4) |
Subject Index |
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319 | |