06.03.2015 Views

Stata Quick Reference and Index

Stata Quick Reference and Index

Stata Quick Reference and Index

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

90 Subject index<br />

available-case analysis, [MI] intro substantive<br />

average marginal effects, [R] margins<br />

average partial effects (APEs), [R] margins<br />

average predictions, [R] margins<br />

average RVI, [MI] Glossary, [MI] mi estimate<br />

averagelinkage, cluster subcomm<strong>and</strong>,<br />

[MV] cluster linkage<br />

average-linkage clustering, [MV] cluster, [MV] cluster<br />

linkage, [MV] clustermat, [MV] Glossary<br />

averages, see means<br />

avplot <strong>and</strong> avplots comm<strong>and</strong>s, [R] regress<br />

postestimation<br />

[aweight=exp] modifier, [U] 11.1.6 weight,<br />

[U] 20.18.2 Analytic weights<br />

axes<br />

multiple scales, [G] axis choice options<br />

setting offset between <strong>and</strong> plot region,<br />

[G] region options<br />

suppressing, [G] axis scale options<br />

axis<br />

labeling, [G] axis label options, [G] axis options<br />

line, look of, [G] axis scale options,<br />

[G] cat axis label options,<br />

[G] cat axis line options<br />

log, [G] axis scale options<br />

overall look, [G] axisstyle<br />

range, [G] axis scale options<br />

reversed, [G] axis scale options<br />

scale, [G] axis options, [G] axis scale options<br />

selection of, [G] axis choice options<br />

suppressing, [G] axis scale options<br />

ticking, [G] axis label options<br />

titling, [G] axis options, [G] axis title options<br />

suppressing, [G] axis title options<br />

axisstyle, [G] axisstyle<br />

B<br />

b() function, [D] functions<br />

b[], [U] 13.5 Accessing coefficients <strong>and</strong> st<strong>and</strong>ard<br />

errors<br />

b1title() option, [G] title options<br />

b2title() option, [G] title options<br />

background color, [G] schemes intro<br />

setting, [G] region options<br />

balanced data, [XT] Glossary<br />

balanced repeated replication, [SVY] brr options,<br />

[SVY] Glossary, [SVY] svy brr,<br />

[SVY] variance estimation<br />

bar<br />

graph subcomm<strong>and</strong>, [G] graph bar<br />

graph twoway subcomm<strong>and</strong>, [G] graph twoway<br />

bar<br />

bar charts, [G] graph bar<br />

barbsize option, [G] graph twoway pcarrow<br />

barlook options, [G] barlook options<br />

bars<br />

labeling, [G] blabel option<br />

look of, [G] barlook options<br />

Bartlett scoring, [MV] factor postestimation<br />

Bartlett’s<br />

b<strong>and</strong>s, [TS] corrgram<br />

periodogram test, [TS] wntestb<br />

test for equal variances, [R] oneway<br />

base conversion, [M-5] inbase( )<br />

BASE directory, [P] sysdir, [U] 17.5 Where does <strong>Stata</strong><br />

look for ado-files?<br />

base level, [U] 11.4.3 Factor variables<br />

base plottypes, [G] advanced options<br />

baseline, [ST] Glossary<br />

baseline dataset, [ST] stbase<br />

baseline hazard <strong>and</strong> survivor functions, [ST] stcox,<br />

[ST] stcox PH-assumption tests, [ST] stcrreg<br />

baseline suboption, [G] alignmentstyle<br />

basis, orthonormal, [P] matrix svd<br />

Battese–Coelli parameterization, [XT] xtfrontier<br />

Bayes’ theorem, [MV] Glossary<br />

Bayesian concepts, [MI] intro substantive<br />

Bayesian information criterion, see BIC<br />

bcskew0 comm<strong>and</strong>, [R] lnskew0<br />

Bentler rotation, [MV] rotate, [MV] rotatemat<br />

Bentler’s invariant pattern simplicity rotation,<br />

[MV] Glossary<br />

Berndt–Hall–Hall–Hausman algorithm,<br />

[M-5] moptimize( ), [M-5] optimize( ), [R] ml<br />

beta<br />

coefficients, [R] gmm, [R] ivregress, [R] nlsur,<br />

[R] regress, [R] regress postestimation<br />

density,<br />

central, [D] functions<br />

noncentral, [D] functions<br />

distribution,<br />

cumulative, [D] functions<br />

cumulative noncentral, [D] functions<br />

function, [M-5] normal( )<br />

complement to incomplete, [D] functions<br />

incomplete, [D] functions<br />

inverse cumulative, [D] functions<br />

inverse cumulative noncentral, [D] functions<br />

inverse reverse cumulative, [D] functions<br />

reverse cumulative, [D] functions<br />

betaden() function, [D] functions, [M-5] normal( )<br />

between estimators, [XT] Glossary, [XT] xtivreg,<br />

[XT] xtreg<br />

between-cell means <strong>and</strong> variances, [XT] xtdescribe,<br />

[XT] xtsum<br />

between-imputation variability, [MI] mi estimate<br />

between matrix, [MV] Glossary<br />

BFGS algorithm, see Broyden–Fletcher–Goldfarb–<br />

Shanno algorithm<br />

bgodfrey, estat subcomm<strong>and</strong>, [R] regress<br />

postestimation time series<br />

BHHH algorithm, see Berndt–Hall–Hall–Hausman<br />

algorithm

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!