Subject index - Stata
Subject index - Stata
Subject index - Stata
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
88 <strong>Subject</strong> <strong>index</strong><br />
scenarios, [TS] forecast, [TS] forecast adjust,<br />
[TS] forecast clear, [TS] forecast coefvector,<br />
[TS] forecast create, [TS] forecast describe,<br />
[TS] forecast drop, [TS] forecast estimates,<br />
[TS] forecast exogenous, [TS] forecast<br />
identity, [TS] forecast list, [TS] forecast query,<br />
[TS] forecast solve<br />
Scheffé’s multiple-comparison adjustment, see multiple<br />
comparisons, Scheffé’s method<br />
scheme() option, [G-3] scheme option<br />
scheme, set subcommand, [G-2] set scheme, [R] set<br />
schemes, [G-2] set scheme, [G-3] play option,<br />
[G-3] scheme option, [G-4] schemes intro,<br />
[G-4] scheme economist, [G-4] scheme s1,<br />
[G-4] scheme s2, [G-4] scheme sj<br />
changing, [G-2] graph display<br />
creating your own, [G-4] schemes intro<br />
default, [G-2] set scheme<br />
Schoenfeld residual, [ST] stcox PH-assumption<br />
tests, [ST] stcox postestimation, [ST] stcrreg<br />
postestimation<br />
Schur<br />
decomposition, [M-5] schurd( ), [M-6] Glossary<br />
form, [M-6] Glossary<br />
schurd() function, [M-5] schurd( )<br />
schurd() function, [M-5] schurd( )<br />
schurdgroupby() function, [M-5] schurd( )<br />
schurdgroupby() function, [M-5] schurd( )<br />
schurdgroupby la() function, [M-5] schurd( )<br />
schurd la() function, [M-5] schurd( )<br />
Schwarz information criterion, see Bayesian information<br />
criterion<br />
scientific notation, [U] 12.2 Numbers<br />
s-class command, [P] program, [P] return, [R] stored<br />
results, [U] 18.8 Accessing results calculated by<br />
other programs<br />
scobit command, [R] scobit, [R] scobit<br />
postestimation<br />
scope, class, [P] class<br />
score, [MV] Glossary<br />
score plot, [MV] scoreplot, [MV] Glossary<br />
score test, [PSS] power oneproportion,<br />
[PSS] Glossary, [SEM] intro 7, [SEM] estat<br />
ginvariant, [SEM] estat mindices, [SEM] estat<br />
scoretests, [SEM] methods and formulas for<br />
sem, [SEM] Glossary<br />
score, matrix subcommand, [P] matrix score<br />
score, ml subcommand, [R] ml<br />
scoreplot command, [MV] discrim lda<br />
postestimation, [MV] factor postestimation,<br />
[MV] pca postestimation, [MV] scoreplot<br />
scores, [R] predict, [SEM] Glossary<br />
obtaining, [U] 20.22 Obtaining scores<br />
scoretests, estat subcommand, [SEM] estat<br />
scoretests<br />
scoring, [MV] factor postestimation, [MV] pca<br />
postestimation, [P] matrix score<br />
scree plot, [MV] screeplot, [MV] Glossary<br />
screeplot command, [MV] discrim lda<br />
postestimation, [MV] factor postestimation,<br />
[MV] pca postestimation, [MV] screeplot<br />
scrollbufsize, set subcommand, [R] set<br />
scrolling of output, controlling, [P] more, [R] more<br />
sd(), egen function, [D] egen<br />
sd, estat subcommand, [SVY] estat<br />
SDR, see successive difference replication<br />
sdr options, [SVY] sdr options<br />
sdtest command, [R] sdtest<br />
sdtesti command, [R] sdtest<br />
se, estat subcommand, [R] exlogistic postestimation,<br />
[R] expoisson postestimation<br />
se[], [U] 13.5 Accessing coefficients and standard<br />
errors<br />
search,<br />
icd9 subcommand, [D] icd9<br />
icd9p subcommand, [D] icd9<br />
ml subcommand, [R] ml<br />
net subcommand, [R] net<br />
notes subcommand, [D] notes<br />
view subcommand, [R] view<br />
search command, [R] search, [U] 4 <strong>Stata</strong>’s help and<br />
search facilities<br />
search Internet, [R] net search<br />
search d, view subcommand, [R] view<br />
searchdefault, set subcommand, [R] search, [R] set<br />
seasonal<br />
ARIMA, [TS] arima<br />
difference operator, [TS] Glossary<br />
lag operator, [U] 11.4.4 Time-series varlists<br />
smoothing, [TS] tssmooth, [TS] tssmooth shwinters<br />
secondary sampling unit, [SVY] Glossary<br />
second-order latent variables, [SEM] Glossary<br />
seconds() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
seed, set subcommand, [R] set, [R] set seed<br />
seek, file subcommand, [P] file<br />
seemingly unrelated<br />
estimation, [R] suest<br />
regression, [R] nlsur, [R] reg3, [R] sureg,<br />
[SEM] intro 5, [SEM] example 12,<br />
[SEM] Glossary, [TS] dfactor<br />
segmentsize, set subcommand, [D] memory, [R] set<br />
select() function, [M-5] select( )<br />
select() option, see sem option select()<br />
select, mi subcommand, [MI] mi select<br />
select<strong>index</strong>() function, [M-5] select( )<br />
selection models, [R] heckman, [R] heckoprobit,<br />
[R] heckprobit, [SVY] svy estimation<br />
selection-on-observables, see conditional-independence<br />
assumption<br />
selection-order statistics, [TS] varsoc<br />
SEM, see structural equation modeling