Index_G


G

G matrix
MIXED procedure, 2663, 2713, 2732, 2733, 2816
G-G epsilon , 1829
G2 inverse
NLIN procedure, 3025
Gabriel's multiple-comparison procedure
ANOVA procedure, 443
GLM procedure, 1767, 1811
GAM procedure
comparing PROC GAM with PROC LOESS, 1596
Estimates from PROC GAM, 1579
generalized additive model with binary data, 1582
graphics, 1581
ODS graph names , 1581
ODS table names, 1580
Poisson regression analysis of component reliability, 1589
gamma distribution, 2083, 2097, 2111
GENMOD procedure, 1652
NLMIXED procedure, 3077
gamma statistic, 1474, 1476
Gaussian assumption
SIM2D procedure, 4091
Gaussian distribution
NLMIXED procedure, 3077
Gaussian random field
SIM2D procedure, 4091
Gaussian semivariogram model
KRIGE2D procedure, 2047, 2048
GCV function, TPSPLINE procedure, 4497, 4499, 4514, 4522
nonhomogeneous variance, 4514
GEE,
See Generalized Estimating Equations
Gehan test,
See Wilcoxon test for homogeneity
power and sample size (POWER), 3473, 3482, 3533
general association statistic, 1502
general distribution
NLMIXED procedure, 3078
general linear structure
MIXED procedure, 2721
generalized Crawford-Ferguson family, 1291
generalized Crawford-Ferguson method, 1317, 1318
generalized cross validation function (GCV), 4497, 4522
generalized cyclic incomplete block design
generating with PLAN procedure, 3357
Generalized Estimating Equations (GEE), 1621, 1646, 1672, 1708, 1713
Generalized Euclidean distance coefficient
DISTANCE procedure, 1272
generalized inverse, 2740
MIXED procedure, 2684
NLIN procedure, 3025
NLMIXED procedure, 3065
generalized least squares,
See weighted least-squares estimation
generalized linear model
GENMOD procedure, 1612, 1613
theory (GENMOD), 1650
generalized logistic model
SURVEYLOGISTIC procedure, 4284
generalized logits,
See also response functions
examples (CATMOD), 869
formulas (CATMOD), 893
specifying in CATMOD procedure, 853
using (CATMOD), 868
generation (INBREED)
nonoverlapping, 1967, 1970, 1971
number, 1974
overlapping, 1967, 1969
variable, 1974
GENMOD procedure
adjusted residuals, 1670
aliasing, 1620
bar () operator, 1660
binomial distribution, 1652
built-in link function, 1614
built-in probability distribution, 1614
classification variables , 1660
confidence intervals, 1637
confidence limits, 1636
continuous variables, 1660
contrasts, 1633
convergence criterion, 1637, 1647
correlated data, 1611, 1672
correlation matrix, 1638, 1656
correlations , least-squares means, 1636
covariance matrix, 1638, 1656
covariances, least-squares means, 1636
crossed effects, 1660
design matrix, 1661
deviance , 1637
deviance definition, 1615
deviance residuals, 1670
dispersion parameter, 1658
dispersion parameter estimation, 1614, 1665, 1666
dispersion parameter weights, 1650
effect specification, 1659
estimability, 1635
estimability checking, 1632
events/trials format for response, 1636, 1653
expected information matrix, 1656
exponential distribution, 1704
F statistics, 1668
Fisher's scoring method, 1642, 1656
gamma distribution, 1652
GEE, 1611, 1621, 1646, 1672, 1708, 1711, 1713
Generalized Estimating Equations (GEE), 1611
generalized linear model, 1612, 1613
goodness of fit, 1656
gradient, 1655
Hessian matrix, 1655
information matrix, 1642
initial values, 1638, 1647
intercept, 1615, 1617, 1640
inverse Gaussian distribution, 1652
L matrices, 1635
Lagrange multiplier statistics, 1668
life data, 1701
likelihood residuals, 1670
linear model, 1612
linear predictor , 1611, 1612, 1618, 1661, 1689
link function, 1611, 1612, 1653
log-likelihood functions, 1654
log-linear models, 1616
logistic regression, 1697
main effects, 1660
maximum likelihood estimation, 1655
_MEAN_ automatic variable, 1645
Model checking, 1718
model checking, 1725
multinomial distribution, 1653
multinomial models, 1671
negative binomial distribution, 1652
nested effects, 1660
Newton-Raphson algorithm, 1655
normal distribution, 1651
observed information matrix, 1656
offset, 1640, 1689
offset variable, 1617
ordinal data, 1704
output ODS graphics table names, 1695
output table names, 1693
overdispersion, 1659
Pearson residuals, 1670
Pearson's chi-square, 1637, 1656, 1657
Poisson distribution, 1652
Poisson regression, 1616
polynomial effects, 1660
profile likelihood confidence intervals, 1640, 1666
programming statements, 1645
quasi-likelihood, 1659
raw residuals, 1669
regression parameters estimation, 1614
regressor effects, 1660
repeated measures, 1611, 1672
residuals, 1641, 1669, 1670
_RESP_ automatic variable, 1645
scale parameter, 1653
scaled deviance, 1656
score statistics, 1668
singular contrast matrix, 1632
subpopulation, 1637
suppressing output, 1627
Type 1 analysis, 1615, 1665
Type 3 analysis, 1615, 1665
user -defined link function, 1634
variance function, 1614
Wald confidence intervals, 1643, 1667
working correlation matrix, 1647, 1648, 1672
_XBETA_ automatic variable, 1645
Gentleman-Givens computational method, 3197
geometric anisotropy
KRIGE2D procedure, 2053-2055
getting started
ODS Graphics, 321
GLM Parameterization
SURVEYLOGISTIC procedure, 4271
GLM procedure
absorption of effects, 1747, 1799
aliasing structure, 1771, 1897
alpha level, 1755, 1765, 1771, 1775
at sign (@) operator, 1786
bar () operator, 1786
Bartlett's test, 1767, 1819
Bonferroni adjustment, 1754
Brown and Forsythe's test, 1767, 1819
canonical analysis, 1760
characteristic roots and vectors, 1759
comparedtootherprocedures, 1734, 1776, 1833, 1885, 1901, 2664, 2985, 3197, 4033
comparing groups, 1804
computational method, 1840
computational resources, 1837
contrasts, 1749, 1779
covariate values for least-squares means, 1755
disk space, 1746
Dunnett's adjustment, 1754
effect specification, 1784
error effect, 1759
estimability, 1750-1752, 1758, 1773, 1793, 1803
estimable functions, 1792
ESTIMATE specification, 1801
homogeneity of variance tests, 1767, 1818
Hsu's adjustment, 1754
hypothesis tests, 1781, 1792
interactive use, 1787
interactivity and BY statement, 1748
interactivity and missing values, 1787, 1837
introductory example, 1735
least-squares means (LS-means), 1753
Levene's test for homogeneity of variance, 1767, 1819
means, 1763
means versus least-squares means, 1804
memory requirements, reduction of, 1747
missing values, 1745, 1759, 1822, 1837
model specification, 1784
multiple comparisons, least-squares means, 1754, 1757, 1806, 1808
multiple comparisons, means, 1765-1769, 1806, 1808
multiple comparisons, procedures, 1763
multivariate analysis of variance, 1745, 1759, 1823
nonstandard weights for least-squares means, 1756
O'Brien's test, 1767
observed margins for least-squares means, 1756
ODS graph names, 1847
ODS table names, 1844
output data sets, 1773, 1840-1842
parameterization, 1787
positional requirements for statements, 1743
predicted population margins, 1753
Q effects, 1834
random effects, 1776, 1833
regression, quadratic, 1738
relation to GLMMOD procedure, 1909
repeated measures, 1777, 1825
Sidak's adjustment, 1754
simple effects, 1758
simulation-based adjustment, 1754
singularity checking, 1750, 1752, 1758, 1772
sphericity tests, 1780, 1829
SSCP matrix for multivariate tests, 1759
statistical assumptions, 1783
summary of features, 1733
tests, hypothesis, 1749
transformations for MANOVA, 1759
transformations for repeated measures, 1779
Tukey's adjustment, 1754
types of least-squares means comparisons, 1757
unbalanced analysis of variance, 1735, 1804, 1856
unbalanced design, 1735, 1804, 1833, 1856, 1882
weighted analysis, 1782
weighted means, 1820
Welch's ANOVA, 1769
WHERE statement, 1787
GLMMOD alternative
TRANSREG procedure, 4586, 4654
GLMMOD procedure
design matrix, 1909, 1917, 1918
input data sets, 1914
introductory example, 1909
missing values, 1917, 1918
ODS table names, 1918
output data sets, 1915, 1917, 1918
relation to GLM procedure, 1909
screening experiments, 1923
GLMPOWER procedure
actual power, 1946, 1947, 1953
alpha level, 1939
analysis of variance, 1930, 1951, 1956
ceiling sample size, 1947
compared to other procedures, 1930, 3412
computational methods , 1949
contrasts, 1934, 1937, 1950, 1951, 1956
covariates, class and continuous, 1938-1941, 1951, 1956
displayed output, 1947
exemplary data set, 1929, 1930, 1936, 1938, 1946, 1952
fractional sample size, 1947
introductory example, 1930
nominal power, 1946, 1947, 1953
number-lists, 1945
ODS table names, 1948
plots, 1930, 1936, 1942
positional requirements for statements, 1936
sample size adjustment, 1946
summary of statements, 1936
value lists, 1945
global influence
LD statistic (PHREG), 3234, 3260
LMAX statistic (PHREG), 3234, 3261
global kriging
KRIGE2D procedure, 2034
global null hypothesis
PHREG procedure, 3218, 3246, 3269
score test (PHREG), 3229, 3274
TPHREG procedure, 4486
Gompertz distribution, 3705
goodness of fit
GENMOD procedure, 1656
Gower's dissimilarity coefficient
DISTANCE procedure, 1271
Gower's method,
See also median method
CLUSTER procedure, 967, 981
Gower's similarity coefficient
DISTANCE procedure, 1270
gradient
CALIS procedure, 634, 664, 665
GENMOD procedure, 1655
LOGISTIC procedure, 2343
MIXED procedure, 2675, 2749
SURVEYLOGISTIC procedure, 4287
Graeco-Latin square
generating with PLAN procedure, 3345
graph axes, swapping
examples, ODS Graphics, 371
graph fonts, modifying
examples, ODS Graphics, 374, 379
graph names
examples, ODS Graphics, 352, 361
ODS Graphics, 330
graph sizes, modifying
examples, ODS Graphics, 378
graph template definitions
ODS Graphics, 338, 342, 365
Q-Q plots, 366
graph template language
ODS Graphics, 338, 342
TEMPLATE procedure, 342
graph titles, modifying
examples, ODS Graphics, 368
graphics,
See plots
examples (REG), 3948
high-resolution plots (REG), 3840
keywords (REG), 3841
options (REG), 3843
saving output (MI), 2526
graphics catalog, specifying
LIFEREG procedure, 2090
PROBIT procedure, 3712
graphics image files
base file names, 335
file names, 335
file types, 334, 336, 350
index counter, 335
ODS Graphics, 334
PostScript, 337, 358
graphs,
See plots
Greenhouse-Geisser epsilon, 1829
grid lines, modifying
examples, ODS Graphics, 373
grid search
example (MIXED), 2796
group average clustering,
See average linkage
grouped- name -lists
POWER procedure, 3490
grouped-number-lists
POWER procedure, 3490
growth curve analysis
example (CATMOD), 933
example (MIXED), 2733
GSK models, 817
GT2 multiple-comparison method, 444, 1769, 1811



SAS.STAT 9.1 Users Guide (Vol. 7)
SAS/STAT 9.1 Users Guide, Volumes 1-7
ISBN: 1590472438
EAN: 2147483647
Year: 2004
Pages: 132

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