SAS/STAT 9.1 Users Guide, Volumes 1-7

2017-07-07 02:10:07

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,

G

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