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.
<strong>Subject</strong> <strong>index</strong> 3<br />
alternative, continued<br />
standard deviation, [PSS] intro, [PSS] power,<br />
[PSS] power onevariance<br />
value, [PSS] Glossary, also see postulated value<br />
variance, [PSS] intro, [PSS] power, [PSS] power<br />
onevariance<br />
alternative-specific<br />
conditional logit (McFadden’s choice) model,<br />
[R] asclogit<br />
multinomial probit regression, [R] asmprobit<br />
rank-ordered probit regression, [R] asroprobit<br />
alternatives, estat subcommand, [R] asclogit<br />
postestimation, [R] asmprobit postestimation,<br />
[R] asroprobit postestimation, [R] nlogit<br />
postestimation<br />
ameans command, [R] ameans<br />
analysis of covariance, [R] anova<br />
analysis of variance, [PSS] power, [PSS] power<br />
oneway, [PSS] power twoway, [PSS] power<br />
repeated, [PSS] Glossary, [R] anova,<br />
[R] contrast, [R] icc, [R] loneway, [R] oneway<br />
Kruskal–Wallis, [R] kwallis<br />
plots, [R] marginsplot<br />
repeated measures, [PSS] power repeated,<br />
[R] anova<br />
analysis step, [MI] intro substantive, [MI] mi estimate,<br />
also see estimation<br />
analysis time, [ST] Glossary<br />
analysis-of-variance test of normality, [R] swilk<br />
analytic weight, [U] 11.1.6 weight,<br />
[U] 20.23.2 Analytic weights<br />
anchoring, see constraints, normalization<br />
ANCOVA, see analysis of covariance<br />
and operator, [U] 13.2.4 Logical operators<br />
Anderberg coefficient similarity measure,<br />
[MV] measure option<br />
angle of text, [G-4] anglestyle<br />
anglestyle, [G-4] anglestyle<br />
angular similarity measure, [MV] measure option<br />
ANOVA, see analysis of variance<br />
anova command, [R] anova, [R] anova postestimation<br />
anova, estat subcommand, [MV] discrim lda<br />
postestimation<br />
Anscombe residual, [ME] mecloglog postestimation,<br />
[ME] meglm postestimation, [ME] melogit<br />
postestimation, [ME] menbreg postestimation,<br />
[ME] mepoisson postestimation, [ME] meprobit<br />
postestimation, [ME] meqrlogit postestimation,<br />
[ME] meqrpoisson postestimation<br />
anti, estat subcommand, [MV] factor<br />
postestimation, [MV] pca postestimation<br />
anti-image<br />
correlation matrix, [MV] factor postestimation,<br />
[MV] pca postestimation, [MV] Glossary<br />
covariance matrix, [MV] factor postestimation,<br />
[MV] pca postestimation, [MV] Glossary<br />
any() function, [M-5] all( )<br />
anycount(), egen function, [D] egen<br />
anymatch(), egen function, [D] egen<br />
anyof() function, [M-5] all( )<br />
anyvalue(), egen function, [D] egen<br />
A-PARCH, see asymmetric power autoregressive<br />
conditional heteroskedasticity<br />
append command, [D] append, [U] 22 Combining<br />
datasets<br />
append variable, [D] append<br />
append, mi subcommand, [MI] mi append<br />
appending data, [D] append, [MI] mi append,<br />
[U] 22 Combining datasets<br />
appending rows and columns to matrix, [P] matrix<br />
define<br />
apply recording, [G-2] graph play<br />
approximating Euclidean distances, [MV] mds<br />
postestimation<br />
AR, see autoregressive<br />
arbitrary pattern of missing values, [MI] mi impute<br />
chained, [MI] mi impute mvn, [MI] Glossary,<br />
also see pattern of missingness<br />
arccosine, arcsine, and arctangent functions,<br />
[D] functions<br />
ARCH, see autoregressive conditional heteroskedasticity<br />
arch command, [TS] arch, [TS] arch postestimation<br />
ARCH effects, testing for, [R] regress postestimation<br />
time series<br />
archlm, estat subcommand, [R] regress<br />
postestimation time series<br />
area under the curve, [R] lroc, also see pharmacokinetic<br />
data, also see receiver operating characteristic<br />
analysis<br />
area, graph twoway subcommand, [G-2] graph<br />
twoway area<br />
areas, [G-4] colorstyle, also see fill, areas, dimming and<br />
brightening, also see fill, color, setting<br />
areastyle, [G-4] areastyle<br />
areg command, [R] areg, [R] areg postestimation<br />
Arellano–Bond, [XT] xtdpd, [XT] xtdpdsys<br />
estimator, [XT] xtabond, [XT] Glossary<br />
Arellano–Bover estimator, [XT] xtdpd, [XT] xtdpdsys<br />
ARFIMA, see autoregressive fractionally integrated<br />
moving-average model<br />
arfima command, [TS] arfima, [TS] arfima<br />
postestimation<br />
arg() function, [M-5] sin( )<br />
args command, [P] syntax<br />
args() function, [M-5] args( )<br />
arguments,<br />
program, [M-2] declarations, [M-6] Glossary<br />
values returned in, [M-1] returnedargs<br />
varying number, [M-2] optargs, [M-5] args( )<br />
ARIMA, see autoregressive integrated moving-average<br />
model<br />
arima command, [TS] arima, [TS] arima<br />
postestimation<br />
arithmetic operators, [M-2] op arith, [M-2] op colon,<br />
[P] matrix define, [U] 13.2.1 Arithmetic<br />
operators<br />
ARMA, see autoregressive moving average