Subject index - Stata

More documents

Recommendations

Info

88 Subject index scenarios, [TS] forecast, [TS] forecast adjust, [TS] forecast clear, [TS] forecast coefvector, [TS] forecast create, [TS] forecast describe, [TS] forecast drop, [TS] forecast estimates, [TS] forecast exogenous, [TS] forecast identity, [TS] forecast list, [TS] forecast query, [TS] forecast solve Scheffé’s multiple-comparison adjustment, see multiple comparisons, Scheffé’s method scheme() option, [G-3] scheme option scheme, set subcommand, [G-2] set scheme, [R] set schemes, [G-2] set scheme, [G-3] play option, [G-3] scheme option, [G-4] schemes intro, [G-4] scheme economist, [G-4] scheme s1, [G-4] scheme s2, [G-4] scheme sj changing, [G-2] graph display creating your own, [G-4] schemes intro default, [G-2] set scheme Schoenfeld residual, [ST] stcox PH-assumption tests, [ST] stcox postestimation, [ST] stcrreg postestimation Schur decomposition, [M-5] schurd( ), [M-6] Glossary form, [M-6] Glossary schurd() function, [M-5] schurd( ) schurd() function, [M-5] schurd( ) schurdgroupby() function, [M-5] schurd( ) schurdgroupby() function, [M-5] schurd( ) schurdgroupby la() function, [M-5] schurd( ) schurd la() function, [M-5] schurd( ) Schwarz information criterion, see Bayesian information criterion scientific notation, [U] 12.2 Numbers s-class command, [P] program, [P] return, [R] stored results, [U] 18.8 Accessing results calculated by other programs scobit command, [R] scobit, [R] scobit postestimation scope, class, [P] class score, [MV] Glossary score plot, [MV] scoreplot, [MV] Glossary score test, [PSS] power oneproportion, [PSS] Glossary, [SEM] intro 7, [SEM] estat ginvariant, [SEM] estat mindices, [SEM] estat scoretests, [SEM] methods and formulas for sem, [SEM] Glossary score, matrix subcommand, [P] matrix score score, ml subcommand, [R] ml scoreplot command, [MV] discrim lda postestimation, [MV] factor postestimation, [MV] pca postestimation, [MV] scoreplot scores, [R] predict, [SEM] Glossary obtaining, [U] 20.22 Obtaining scores scoretests, estat subcommand, [SEM] estat scoretests scoring, [MV] factor postestimation, [MV] pca postestimation, [P] matrix score scree plot, [MV] screeplot, [MV] Glossary screeplot command, [MV] discrim lda postestimation, [MV] factor postestimation, [MV] pca postestimation, [MV] screeplot scrollbufsize, set subcommand, [R] set scrolling of output, controlling, [P] more, [R] more sd(), egen function, [D] egen sd, estat subcommand, [SVY] estat SDR, see successive difference replication sdr options, [SVY] sdr options sdtest command, [R] sdtest sdtesti command, [R] sdtest se, estat subcommand, [R] exlogistic postestimation, [R] expoisson postestimation se[], [U] 13.5 Accessing coefficients and standard errors search, icd9 subcommand, [D] icd9 icd9p subcommand, [D] icd9 ml subcommand, [R] ml net subcommand, [R] net notes subcommand, [D] notes view subcommand, [R] view search command, [R] search, [U] 4 Stata’s help and search facilities search Internet, [R] net search search d, view subcommand, [R] view searchdefault, set subcommand, [R] search, [R] set seasonal ARIMA, [TS] arima difference operator, [TS] Glossary lag operator, [U] 11.4.4 Time-series varlists smoothing, [TS] tssmooth, [TS] tssmooth shwinters secondary sampling unit, [SVY] Glossary second-order latent variables, [SEM] Glossary seconds() function, [D] datetime, [D] functions, [M-5] date( ) seed, set subcommand, [R] set, [R] set seed seek, file subcommand, [P] file seemingly unrelated estimation, [R] suest regression, [R] nlsur, [R] reg3, [R] sureg, [SEM] intro 5, [SEM] example 12, [SEM] Glossary, [TS] dfactor segmentsize, set subcommand, [D] memory, [R] set select() function, [M-5] select( ) select() option, see sem option select() select, mi subcommand, [MI] mi select selectindex() function, [M-5] select( ) selection models, [R] heckman, [R] heckoprobit, [R] heckprobit, [SVY] svy estimation selection-on-observables, see conditional-independence assumption selection-order statistics, [TS] varsoc SEM, see structural equation modeling
Subject index 89 sem command, [SEM] Builder, [SEM] example 1, [SEM] example 3, [SEM] example 6, [SEM] example 7, [SEM] example 8, [SEM] example 9, [SEM] example 10, [SEM] example 12, [SEM] example 15, [SEM] example 16, [SEM] example 17, [SEM] example 18, [SEM] example 20, [SEM] example 23, [SEM] example 24, [SEM] example 26, [SEM] example 42g, [SEM] methods and formulas for sem, [SEM] sem, [SEM] sem and gsem path notation, [SEM] sem model description options, [SEM] sem path notation extensions, [SEM] sem postestimation, [SEM] Glossary missing values, [SEM] example 26 with constraints, [SEM] example 8 sem option allmissing, [SEM] sem estimation options baseopts(), [SEM] sem estimation options coeflegend, [SEM] example 8, [SEM] example 16, [SEM] sem reporting options constraints(), [SEM] sem and gsem option constraints( ), [SEM] sem model description options covariance(), [SEM] sem and gsem path notation, [SEM] sem model description options, [SEM] sem path notation extensions covstructure(), [SEM] intro 5, [SEM] example 17, [SEM] sem and gsem option covstructure( ), [SEM] sem model description options forcecorrelations, [SEM] sem ssd options forcenoanchor, [SEM] sem model description options forcexconditional, [SEM] sem option noxconditional from(), [SEM] intro 12, [SEM] sem and gsem option from( ), [SEM] sem model description options fvwrap(), [SEM] sem reporting options fvwrapon(), [SEM] sem reporting options ginvariant(), [SEM] intro 6, [SEM] example 23, [SEM] sem group options group(), [SEM] intro 6, [SEM] example 20, [SEM] example 23, [SEM] sem group options, [SEM] sem option select( ), [SEM] sem path notation extensions latent(), [SEM] sem and gsem syntax options level(), [SEM] sem reporting options maximize options, [SEM] intro 12, [SEM] sem estimation options means(), [SEM] intro 5, [SEM] example 18, [SEM] sem and gsem path notation, [SEM] sem model description options, [SEM] sem path notation extensions method(), [SEM] intro 4, [SEM] intro 8, [SEM] intro 9, [SEM] example 26, [SEM] sem estimation options, [SEM] sem option method( ), [SEM] Glossary sem option, continued nm1, [SEM] sem estimation options noanchor, [SEM] sem model description options nocapslatent, [SEM] sem and gsem syntax options nocnsreport, [SEM] sem reporting options noconstant, [SEM] sem model description options nodescribe, [SEM] sem reporting options noestimate, [SEM] sem estimation options nofootnote, [SEM] sem reporting options nofvlabel, [SEM] sem reporting options noheader, [SEM] sem reporting options noivstart, [SEM] sem estimation options nomeans, [SEM] sem model description options notable, [SEM] sem reporting options noxconditional, [SEM] sem estimation options, [SEM] sem option noxconditional reliability(), [SEM] intro 12, [SEM] example 24, [SEM] sem and gsem option reliability( ), [SEM] sem model description options satopts(), [SEM] sem estimation options select(), [SEM] sem option select( ), [SEM] sem ssd options showginvariant, [SEM] sem reporting options standardized, [SEM] sem reporting options variance(), [SEM] sem and gsem path notation, [SEM] sem model description options, [SEM] sem path notation extensions vce(), [SEM] intro 4, [SEM] intro 8, [SEM] intro 9, [SEM] sem estimation options, [SEM] sem option method( ), [SEM] Glossary sem postestimation commands, [SEM] intro 7 semicolons, [M-2] semicolons semiparametric imputation method, see imputation, predictive mean matching semiparametric model, [ST] stcox, [ST] stcrreg, [ST] Glossary semirobust standard errors, [XT] Glossary sensitivity, [R] estat classification, [R] lroc, [R] lsens, also see receiver operating characteristic analysis, analysis, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] Glossary model, [R] regress postestimation, [R] rreg separate command, [D] separate separating string variables into parts, [D] split seq(), egen function, [D] egen sequential imputation, [MI] mi impute, [MI] mi impute chained, [MI] mi impute monotone sequential limit theory, [XT] Glossary
Page 1 and 2:
Subject index Symbols ! (not), see
Page 3 and 4:
Subject index 3 alternative, contin
Page 5 and 6:
Subject index 5 autoregressive, con
Page 7 and 8:
Subject index 7 biquartimax rotatio
Page 9 and 10:
Subject index 9 c(maxstrvarlen) c-c
Page 11 and 12:
Subject index 11 char, continued ma
Page 13 and 14:
Subject index 13 cluster analysis,
Page 15 and 16:
Subject index 15 colnames, matrix s
Page 17 and 18:
Subject index 17 confidence interva
Page 19 and 20:
Subject index 19 convergence, [SEM]
Page 21 and 22:
Subject index 21 cross-sectional da
Page 23 and 24:
Subject index 23 defective matrix,
Page 25 and 26:
Subject index 25 direction of an ef
Page 27 and 28:
Subject index 27 dsign() function,
Page 29 and 30:
Subject index 29 endogenous, contin
Page 31 and 32:
Subject index 31 estat, continued m
Page 33 and 34:
Subject index 33 experimental data,
Page 35 and 36:
Subject index 35 files, continued c
Page 37 and 38: Subject index 37 frequencies, creat
Page 39 and 40: Subject index 39 ghessenbergd la()
Page 41 and 42: Subject index 41 graphs, continued
Page 43 and 44: Subject index 43 gsem option, conti
Page 45 and 46: Subject index 45 httpproxy, set sub
Page 47 and 48: Subject index 47 incidence-rate rat
Page 49 and 50: Subject index 49 invpoissontail() f
Page 51 and 52: Subject index 51 label values, [P]
Page 53 and 54: Subject index 53 lines, continued l
Page 55 and 56: Subject index 55 lower-triangular m
Page 57 and 58: Subject index 57 matmissing() funct
Page 59 and 60: Subject index 59 means, continued g
Page 61 and 62: Subject index 61 mindices, estat su
Page 63 and 64: Subject index 63 mreldifre() functi
Page 65 and 66: Subject index 65 nbinomialtail() fu
Page 67 and 68: Subject index 67 nonparametric anal
Page 69 and 70: Subject index 69 ocloglog option, s
Page 71 and 72: Subject index 71 outcomes, continue
Page 73 and 74: Subject index 73 pcorr command, [R]
Page 75 and 76: Subject index 75 postestimation com
Page 77 and 78: Subject index 77 probability of a t
Page 79 and 80: Subject index 79 quad precision, [M
Page 81 and 82: Subject index 81 rcap, graph twoway
Page 83 and 84: Subject index 83 reset, mi subcomma
Page 85 and 86: Subject index 85 robust, Huber/Whit
Page 87: Subject index 87 sample size, conti
Page 91 and 92: Subject index 91 set, cluster subco
Page 93 and 94: Subject index 93 snapshot, [D] snap
Page 95 and 96: Subject index 95 stability, [TS] va
Page 97 and 98: Subject index 97 stbase command, [S
Page 99 and 100: Subject index 99 Student’s t, dis
Page 101 and 102: Subject index 101 svy: mean command
Page 103 and 104: Subject index 103 tempfile command,
Page 105 and 106: Subject index 105 timer, continued
Page 107 and 108: Subject index 107 Tukey’s Student
Page 109 and 110: Subject index 109 use command, [D]
Page 111 and 112: Subject index 111 verifying data, [
Page 113 and 114: Subject index 113 xtcloglog command
show all

Subject index - Stata

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?