Book Contents Master Index
 SAS/STAT User's Guide

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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 "PROC MULTTEST Statement"
Hochberg
Hochberg (MULTTEST)
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
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
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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