Subject index - Stata

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44 Subject index heteroskedasticity, [XT] xtgls, also see HAC variance estimate ARCH model, see autoregressive conditional heteroskedasticity model conditional, [R] regress postestimation time series GARCH model, see generalized autoregressive conditional heteroskedasticity Newey–West estimator, see Newey–West regression robust variances, see robust, Huber/White/sandwich estimator of variance test, [R] hetprobit, [R] regress postestimation, [R] regress postestimation time series, [R] sdtest hetprobit command, [R] hetprobit, [R] hetprobit postestimation hettest, estat subcommand, [R] regress postestimation hexadecimal report, [D] hexdump hexdump command, [D] hexdump Heywood case, [MV] Glossary solution, [MV] Glossary hh() function, [D] datetime, [D] functions, [M-5] date( ) hhC() function, [D] datetime, [D] functions, [M-5] date( ) hidden stored results, [M-5] st global( ), [M-5] st matrix( ), [M-5] st numscalar( ) hierarchical cluster analysis, [MV] cluster, [MV] clustermat, [MV] cluster linkage clustering, [MV] Glossary model, [ME] me, [ME] mecloglog, [ME] meglm, [ME] melogit, [ME] menbreg, [ME] meologit, [ME] meoprobit, [ME] mepoisson, [ME] meprobit, [ME] meqrlogit, [ME] meqrpoisson, [ME] mixed, [ME] Glossary, [U] 26.19 Multilevel mixedeffects models regression, [R] nestreg, [R] stepwise samples, [R] anova, [R] gllamm, [R] loneway, [R] areg higher-order models, see confirmatory factor analysis high-low charts, [G-2] graph twoway rbar, [G-2] graph twoway rcap, [G-2] graph twoway rspike high-pass filter, [TS] tsfilter bw, [TS] tsfilter hp, [TS] Glossary Hilbert() function, [M-5] Hilbert( ) Hildreth–Lu regression, [TS] prais HILO, [M-5] byteorder( ) histogram command, [R] histogram histogram, graph twoway subcommand, [G-2] graph twoway histogram histograms, [G-2] graph twoway histogram, [R] histogram dotplots, [R] dotplot kernel density estimator, [R] kdensity ladder-of-powers, [R] ladder histograms, continued of categorical variables, [R] histogram rootograms, [R] spikeplot stem-and-leaf, [R] stem historical stored results, [M-5] st global( ), [M-5] st matrix( ), [M-5] st numscalar( ) histories, [G-2] graph bar, [G-2] graph box, [G-2] graph matrix, [G-2] graph pie, [G-2] graph twoway histogram, [G-3] by option hms() function, [D] datetime, [D] functions, [M-5] date( ) Hodrick–Prescott filter, [TS] tsfilter, [TS] tsfilter hp hofd() function, [D] datetime, [D] functions, [M-5] date( ) hold, estimates subcommand, [P] estimates return subcommand, [P] return Holm’s multiple-comparison adjustment, see multiple comparisons, Holm’s method Holt–Winters smoothing, [TS] tssmooth, [TS] tssmooth dexponential, [TS] tssmooth exponential, [TS] tssmooth hwinters, [TS] tssmooth shwinters, [TS] Glossary homogeneity of variances, [R] oneway, [R] sdtest homogeneity test, [ST] epitab homoskedasticity tests, [R] regress postestimation Horst normalization, see Kaiser normalization Hosmer–Lemeshow delta chi-squared influence statistic, see delta chisquared influence statistic delta deviance influence statistic, see delta deviance influence statistic goodness-of-fit test, [R] estat gof, [SVY] estat hot, ssc subcommand, [R] ssc hotelling command, [MV] hotelling Hotelling’s generalized T -squared statistic, [MV] manova T -squared, [MV] hotelling, [MV] mvtest means, [MV] Glossary hours() function, [D] datetime, [D] functions, [M-5] date( ) hp, tsfilter subcommand, [TS] tsfilter hp hqrd() function, [M-5] qrd( ) hqrd() function, [M-5] qrd( ) hqrdmultq() function, [M-5] qrd( ) hqrdmultq1t() function, [M-5] qrd( ) hqrdp() function, [M-5] qrd( ) hqrdp() function, [M-5] qrd( ) hqrdp la() function, [M-5] qrd( ) hqrdq() function, [M-5] qrd( ) hqrdq1() function, [M-5] qrd( ) hqrdr() function, [M-5] qrd( ) hqrdr1() function, [M-5] qrd( ) HRF, see human readable form ht, xtunitroot subcommand, [XT] xtunitroot http://www.stata.com, [U] 3.2.1 The Stata website (www.stata.com)
Subject index 45 httpproxy, set subcommand, [R] netio, [R] set httpproxyauth, set subcommand, [R] netio, [R] set httpproxyhost, set subcommand, [R] netio, [R] set httpproxyport, set subcommand, [R] netio, [R] set httpproxypw, set subcommand, [R] netio, [R] set httpproxyuser, set subcommand, [R] netio, [R] set Huber weighting, [R] rreg Huber/White/sandwich estimator of variance, see robust, Huber/White/sandwich estimator of variance human readable form, [D] datetime, [D] datetime display formats, [D] datetime translation Huynh–Feldt epsilon, [R] anova hwinters, tssmooth subcommand, [TS] tssmooth hwinters hyperbolic functions, [D] functions, [M-5] sin( ) hypergeometric, cumulative distribution, [D] functions probability mass function, [D] functions hypergeometric() function, [D] functions, [M-5] normal( ) hypergeometricp() function, [D] functions, [M-5] normal( ) hypertext help, [R] help, [U] 4 Stata’s help and search facilities, [U] 18.11.6 Writing system help hypothesis, [PSS] Glossary, also see null hypothesis and alternative hypothesis test, [PSS] intro, [PSS] Glossary, [SEM] test, [SEM] testnl, also see null hypothesis and alternative hypothesis hypothesized value, [PSS] power, [PSS] Glossary I I() function, [D] functions, [M-5] I( ), [P] matrix define i.i.d. assumption, see independent and identically distributed sampling assumption ibeta() function, [D] functions, [M-5] normal( ) ibetatail() function, [D] functions, [M-5] normal( ) ic, estat subcommand, [R] estat, [R] estat ic icc command, [R] icc icc, estat subcommand, [ME] melogit postestimation, [ME] meprobit postestimation, [ME] meqrlogit postestimation, [ME] mixed postestimation icd9 check command, [D] icd9 clean command, [D] icd9 generate command, [D] icd9 lookup command, [D] icd9 query command, [D] icd9 search command, [D] icd9 icd9p check command, [D] icd9 clean command, [D] icd9 generate command, [D] icd9 lookup command, [D] icd9 icd9p, continued query command, [D] icd9 search command, [D] icd9 ICE, see imputation, multivariate, chained equations ice command, [MI] mi export ice, [MI] mi import ice ID variable, [ST] Glossary identification, see model identification identifier, class, [P] class identifier, unique, [D] isid identity matrix, [M-5] I( ), [P] matrix define identity, forecast subcommand, [TS] forecast identity idiosyncratic error term, [XT] Glossary if, [M-2] if if exp, [P] syntax, [U] 11 Language syntax if programming command, [P] if ignorable missing-data mechanism, [MI] intro substantive, [MI] Glossary IIA, see independence of irrelevant alternatives Im–Pesaran–Shin test, [XT] xtunitroot Im() function, [M-5] Re( ) imaginary part, [M-5] Re( ) immediate commands, [P] display, [R] bitest, [R] ci, [R] esize, [R] prtest, [R] sdtest, [R] symmetry, [R] tabulate twoway, [R] ttest, [U] 18.4.5 Parsing immediate commands, [U] 19 Immediate commands implied context, class, [P] class import delimited command, [D] import delimited excel command, [D] import excel haver command, [D] import haver sasxport command, [D] import sasxport import, mi subcommand, [MI] mi import, [MI] mi import flong, [MI] mi import flongsep, [MI] mi import ice, [MI] mi import nhanes1, [MI] mi import wide importance weight, [U] 11.1.6 weight, [U] 20.23.4 Importance weights importing data, [D] import, [D] import delimited, [D] import excel, [D] import haver, [D] import sasxport, [D] infile (fixed format), [D] infile (free format), [D] infix (fixed format), [D] odbc, [D] xmlsave, [MI] mi import, [MI] mi import flong, [MI] mi import flongsep, [MI] mi import ice, [MI] mi import nhanes1, [MI] mi import wide, [U] 21 Entering and importing data, [U] 21.4 Transfer programs, also see combining datasets, also see inputting data interactively impulse–response functions, [G-2] graph other, [TS] irf, [TS] irf add, [TS] irf cgraph, [TS] irf create, [TS] irf ctable, [TS] irf describe, [TS] irf drop, [TS] irf graph, [TS] irf ograph, [TS] irf rename, [TS] irf set, [TS] irf table, [TS] var intro, [TS] varbasic, [TS] vec intro, [TS] 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: Subject index 43 gsem option, conti
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 and 88: Subject index 87 sample size, conti
Page 89 and 90: Subject index 89 sem command, [SEM]
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
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Subject index 97 stbase command, [S
Page 99 and 100:
Subject index 99 Student’s t, dis
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Subject index 101 svy: mean command
Page 103 and 104:
Subject index 103 tempfile command,
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Subject index 105 timer, continued
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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
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