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H
-
H= effects
- REPEATED statement (ANOVA)
-
H keyword
- OUTPUT statement (GLM)
-
H= option
- MANOVA statement (ANOVA)
- MANOVA statement (GLM)
- OUTPUT statement (LOGISTIC)
- OUTPUT statement (NLIN)
- REPEATED statement (GLM)
-
H-F epsilon
-
half-fraction design, analysis
-
Harris component analysis
-
Harris-Kaiser rotation
-
hat matrix
- LOGISTIC procedure
-
HAXIS= option
- PLOT statement (BOXPLOT)
- PLOT statement (REG)
- PROC TREE statement
-
hazard function
- baseline (PHREG) "Overview"
- baseline (PHREG) "Overview"
- cumulative (PHREG)
- definition (PHREG)
- discrete (PHREG) "Failure Time Distribution"
- discrete (PHREG) "MODEL Statement"
- PHREG procedure
- rate (PHREG)
- ratio (PHREG) "Getting Started"
- ratio (PHREG) "Getting Started"
-
hazards ratio
- confidence interval (PHREG)
- confidence limits (PHREG) "Displayed Output"
- confidence limits (PHREG) "Hazards Ratio Estimates and Confidence Limits"
- confidence limits (PHREG) "MODEL Statement"
- confidence limits (PHREG) "MODEL Statement"
- estimate (PHREG) "Displayed Output"
- estimate (PHREG) "Example 49.3: Conditional Logistic Regression for m:n Matching"
- estimate (PHREG) "Hazards Ratio Estimates and Confidence Limits"
- PHREG procedure
-
HC= option
- PROC FASTCLUS statement
-
HEIGHT= option
- PLOT statement (BOXPLOT)
- PROC TREE statement
-
HEIGHT statement
- TREE procedure
-
HELMERT keyword
- REPEATED statement (ANOVA)
-
HELMERT option
- REPEATED statement (GLM) "Repeated Measures Analysis of Variance"
- REPEATED statement (GLM) "REPEATED Statement"
-
help system
-
Hertzsprung-Russell Plot, example
- MODECLUS procedure
-
HESCAL= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
HESS option
- PROC NLMIXED statement
-
HESSALG= option
- PROC CALIS statement
-
Hessian matrix
- CALIS procedure "NLOPTIONS Statement"
- CALIS procedure "NLOPTIONS Statement"
- CALIS procedure "NLOPTIONS Statement"
- CALIS procedure "Output Data Sets"
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "Testing Rank Deficiency in the Approximate Covariance Matrix"
- CALIS procedure "Use of Optimization Techniques"
- CALIS procedure "Use of Optimization Techniques"
- CALIS procedure "Use of Optimization Techniques"
- GENMOD procedure
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "Score Statistics and Tests"
- MIXED procedure "Computational Issues"
- MIXED procedure "Computational Issues"
- MIXED procedure "Default Output"
- MIXED procedure "Default Output"
- MIXED procedure "Example 41.2: Repeated Measures"
- MIXED procedure "Example 41.3: Plotting the Likelihood"
- MIXED procedure "PARMS Statement"
- MIXED procedure "PROC MIXED Statement"
- MIXED procedure "PROC MIXED Statement"
- MIXED procedure "PROC MIXED Statement"
- NLMIXED procedure
-
Hessian scaling
- NLMIXED procedure
-
heterogeneity
- example (MIXED)
- MIXED procedure "RANDOM Statement"
- MIXED procedure "RANDOM Statement"
- MIXED procedure "REPEATED Statement"
- MIXED procedure "REPEATED Statement"
-
heterogeneous
- AR(1) structure (MIXED)
- compound-symmetry structure (MIXED)
- covariance structures (MIXED)
- Toeplitz structure (MIXED)
-
heteroscedasticity
- testing (REG)
-
Heywood cases
- FACTOR procedure
-
HEYWOOD option
- FACTOR statement (CALIS)
- PROC FACTOR statement
-
hierarchical clustering
-
hierarchical design
- generating with PLAN procedure
-
hierarchical model
- example (MIXED)
-
hierarchy
- LOGISTIC procedure
-
HIERARCHY option
- PROC VARCLUS statement
-
HIERARCHY= option
- MODEL statement (LOGISTIC)
-
HISTORY option
- MODEL statement (TRANSREG)
-
HKPOWER= option
- PROC FACTOR statement
-
HLM option
- REPEATED statement (MIXED)
-
HLPS option
- REPEATED statement (MIXED)
-
HM option
- PROC MODECLUS statement
-
HMINOR= option
- PLOT statement (BOXPLOT)
-
HOC option
- PROC MULTTEST statement "p-Value Adjustments"
- PROC MULTTEST statement "PROC MULTTEST Statement"
-
Hochberg
- adjustment (MULTTEST)
-
Hochberg (MULTTEST)
- p-value adjustments
-
Hochberg's GT2 multiple-comparison method
-
HOFFSET= option
- PLOT statement (BOXPLOT)
-
HOLD= option
- PARMS statement (MIXED)
-
HOLM option
- PROC MULTTEST statement
-
homogeneity analysis
- CORRESP procedure
-
homogeneity of survival curves
- LIFETEST procedure "Getting Started"
- LIFETEST procedure "Overview"
-
homogeneity of variance tests
- Bartlett's test (ANOVA)
- Bartlett's test (GLM) "Homogeneity of Variance in One-Way Models"
- Bartlett's test (GLM) "MEANS Statement"
- Brown and Forsythe's test (ANOVA)
- Brown and Forsythe's test (GLM) "Homogeneity of Variance in One-Way Models"
- Brown and Forsythe's test (GLM) "Homogeneity of Variance in One-Way Models"
- Brown and Forsythe's test (GLM) "MEANS Statement"
- DISCRIM procedure
- examples
- Levene's test (ANOVA)
- Levene's test (GLM) "Homogeneity of Variance in One-Way Models"
- Levene's test (GLM) "MEANS Statement"
- O'Brien's test (ANOVA)
- O'Brien's test (GLM)
- Welch's ANOVA
-
homotopy parameter
- FASTCLUS procedure
-
honestly significant difference test
-
HORDISPLAY= option
- PROC TREE statement
-
HORIZONTAL option
- PROC TREE statement
-
Hosmer-Lemeshow test
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "The Hosmer-Lemeshow Goodness-of-Fit Test"
- test statistic (LOGISTIC)
-
Hotelling-Lawley trace
-
Hotelling-Lawley-McKeon statistic
- MIXED procedure
-
Hotelling-Lawley-Pillai-Samson statistic
- MIXED procedure
-
HOUGAARD option
- PROC NLIN statement
-
HOVTEST option
- MEANS statement (ANOVA)
- MEANS statement (GLM) "Homogeneity of Variance in One-Way Models"
- MEANS statement (GLM) "MEANS Statement"
-
Howe's solution
-
HP= option
- PROC FASTCLUS statement
-
HPAGES= option
- PROC TREE statement
-
HPLOTS= option
- PLOT statement (REG)
-
HPROB= option
- PROC PROBIT statement
-
HREF= option
- PLOT statement (BOXPLOT)
- PLOT statement (REG)
-
HREFLABELS= option
- PLOT statement (BOXPLOT)
-
HREFLABPOS= option
- PLOT statement (BOXPLOT)
-
HSD test
-
Hsu's adjustment
- GLM procedure
- MIXED procedure
-
HTYPE= option
- MANOVA statement (GLM)
- MEANS statement (GLM)
- MODEL statement (MIXED)
- REPEATED statement (GLM)
- TEST statement (GLM)
-
Huynh-Feldt
- epsilon (GLM)
- structure (GLM)
- structure (MIXED)
-
HYBRID option
- and FREQ statement (CLUSTER)
- and other options (CLUSTER) "PROC CLUSTER Statement"
- and other options (CLUSTER) "PROC CLUSTER Statement"
- and other options (CLUSTER) "PROC CLUSTER Statement"
- PROC CLUSTER statement "Clustering Methods"
- PROC CLUSTER statement "PROC CLUSTER Statement"
-
hypergeometric
- distribution (MULTTEST)
- variance (MULTTEST)
-
hypothesis tests
- comparing adjusted means (GLM)
- contrasts (CATMOD)
- contrasts (GLM)
- contrasts, examples (GLM) "Example 30.1: Balanced Data from Randomized Complete Block with Means Comparisons and Contrasts"
- contrasts, examples (GLM) "Example 30.5: Three-Way Analysis of Variance with Contrasts"
- contrasts, examples (GLM) "Example 30.6: Multivariate Analysis of Variance"
- custom tests (ANOVA)
- customized (GLM)
- exact (FREQ)
- for intercept (ANOVA)
- for intercept (GLM)
- GLM procedure
- incorrect hypothesis (CATMOD)
- lack of fit (RSREG)
- MANOVA (GLM)
- mixed model (MIXED) "Default Output"
- mixed model (MIXED) "Mixed Models Theory"
- multivariate (REG)
- nested design (NESTED)
- parametric, comparing means (TTEST) "Example 67.1: Comparing Group Means Using Input Data Set of Summary Statistics"
- parametric, comparing means (TTEST) "Overview"
- parametric, comparing variances (TTEST) "Example 67.1: Comparing Group Means Using Input Data Set of Summary Statistics"
- parametric, comparing variances (TTEST) "Overview"
- random effects (GLM) "Random Effects Analysis"
- random effects (GLM) "RANDOM Statement"
- REG procedure "MTEST Statement"
- REG procedure "TEST Statement"
- repeated measures (GLM)
- TRANSREG procedure
- Type I sum of squares (GLM)
- Type II sum of squares (GLM)
- Type III sum of squares (GLM)
- Type IV sum of squares (GLM)
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