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📄 stata1.key

📁 是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到
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.k one-way stat-istics anal-ysis variance-s anova bonfer-ronis mult-iple
.k compar-isons test-s test-ing post-hoc hoc sidak-s scheffe homog-eneity
.k bartlett-s equal within between cell-s way hyp-otheses hyp-othesis
.k mean-s factor-s
.o @oneway@

.e [R] oprobit
.c manual
.t Ordered probit regression
.k oprobit stat-istics est-imation est-imates command-s
.k max-imum like-lihood order-ed probit reg-ressions
.k cat-egorical ml-e step-wise multin-omial
.k model-s ordinal anal-ysis propor-tional odds
.k robust meth-ods clus-ters clus-tering clus-tered scor-es
.o @oprobit@

.e [R] oprobit postestimation
.c manual
.t Postestimation tools for oprobit
.k pred-ictions
.k stat-istics est-imation est-imates
.k oprobit post-estimations post
.o @oprobit postestimation@

.e [R] orthog
.c manual
.t Orthogonalize variables and compute orthogonal polynomials
.k orthpoly stat-istics
.k orthog-onal poly-nomials orthog-onalize var-iables multicol-linearity
.k linear reg-ressions mult-iple eq-uations collinear-ity gram schmidt
.o @orthog@, @orthpoly@

.e [R] pcorr
.c manual
.t Partial correlation coefficients
.k pcorr stat-istics
.k corr-elate corr-elations partial coef-ficients
.o @pcorr@

.e [R] permute
.c manual
.t Monte Carlo permutation tests
.k permute-: : command-s prefix
.k stat-istics permu-tation test-s test-ing monte carlo simul-ations
.k samp-ling rand-om
.o @permute@

.e [R] pk
.c manual
.t Pharmacokinetic (biopharmaceutical) data
.k pk stat-istics pharm-acokinetics biopharm-aceutical data-sets set-s
.k pharm-aceutical clinic-al trial-s cross-over treat-ments design-s
.k carry-over over bioequiv-alence equiv-alence test-s test-ing
.o @pk@

.e [R] pkcollapse
.c manual
.t Generate pharmacokinetic measurement dataset
.k pk-collapse collapse data-sets set-s manage-ment pharm-acokinetics
.k pharm-aceutical auc area under time curv-es concentra-tion summ-ary
.k stat-istics clinic-al trial-s reshape elim-ination rate-s half-life life
.o @pkcollapse@

.e [R] pkcross
.c manual
.t Analyze crossover experiments
.k pk-cross stat-istics cross-over design-s exper-iments exper-imental
.k pharm-acokinetics pharm-aceutical trial-s data-sets set-s treat-ments
.k effect-s carry-over over clinic-al period-s mean-s seq-uences
.o @pkcross@

.e [R] pkequiv
.c manual
.t Perform bioequivalence tests
.k pk-equiv stat-istics bioequiv-alence test-s test-ing pharm-acokinetics
.k pharm-aceutical data-sets set-s clinic-al trial-s fieller-s westlake-s
.k conf-idence interv-als treat-ments cross-over over anderson-s hauck-s
.k schuirmann-s
.o @pkequiv@

.e [R] pkexamine
.c manual
.t Calculate pharmacokinetic measures
.k pk-examine stat-istics pharm-acokinetics pharm-aceutical data-sets set-s
.k concentra-tion time curv-es meas-ures meas-urements half-life life
.k elim-ination rate-s auc clinic-al trial-s area under graph-s graph-ics
.k graph-ing
.o @pkexamine@

.e [R] pkshape
.c manual
.t Reshape (pharmacokinetic) Latin-square data
.k pk-shape shape stat-istics pharm-acokinetics pharm-aceutical data-sets set-s
.k latin sq-uares cross-over treat-ments carry-over over clinic-al trial-s
.k reshape period-s mean-s seq-uences
.o @pkshape@

.e [R] pksumm
.c manual
.t Summarize pharmacokinetic data
.k pk-summ stat-istics summ-arize pharm-acokinetics pharm-aceutical data-sets
.k set-s auc area under concentra-tion time curv-es half-life life test-s
.k test-ing elim-ination rate-s clinic-al trial-s
.o @pksumm@

.e [R] poisson
.c manual
.t Poisson regression
.k poisson stat-istics est-imation est-imates reg-ressions command-s
.k ml-e max-imum like-lihood step-wise
.k distrib-utions spatial epi-demiological epi-demiology data
.k count-s surviv-al fail-ure anal-ysis time model-s reliab-ility duration
.k incid-ence rate-s ratio-s expos-ures total-s
.k robust meth-ods clus-ters clus-tering clus-tered scor-es
.o @poisson@

.e [R] poisson postestimation
.c manual
.t Postestimation tools for poisson
.k pred-ictions estat gof poisgof
.k stat-istics est-imation est-imates
.k poisson post-estimations post
.k goodness fit
.o @poisson postestimation@

.e [R] predict
.c manual
.t Obtain predictions, residuals, etc., after estimation
.k pred-ictions stat-istics
.k post post-estimations est-imation est-imates command-s
.k resid-uals
.k influ-ence lever-age reg-ressions model-s
.k forecast-ing stand-ardized stand-ardised
.k err-ors std variance-s hat cook-sd d
.k project-ion jack-knifed jack-nifed diagnos-tics stud-entized
.k ml-e max-imum like-lihood
.o @predict@

.e [R] predictnl
.c manual
.t Nonlinear predictions, standard errors, etc., after est.
.k stat-istics predictnl pred-ictions
.k post post-estimations est-imation est-imates command-s
.k nonlin-ear non lin-ear forecast-ing
.k stand-ardized stand-ardised err-ors std variance-s
.k wald test-s test-ing signif-icance conf-idence interv-als level delta
.k meth-ods deriv-atives
.o @predictnl@

.e [R] probit
.c manual
.t Probit regression
.k probit dprobit stat-istics est-imation est-imates command-s
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering scor-es max-imum like-lihood
.k bina-ry outcome-s model-s dicho-tomous risk-s ml-e reg-ressions
.k step-wise odds ratio-s
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.o @probit@

.e [R] probit postestimation
.c manual
.t Postestimation tools for probit and dprobit
.k pred-ictions estat clas classif-ications gof lsens lroc
.k stat-istics est-imation est-imates
.k probit dprobit post-estimations post
.o @probit postestimation@

.e [R] proportion
.c manual
.t Estimate proportions
.k propor-tions
.k stat-istics est-imation est-imates command-s
.k stand-ard err-ors conf-idence interv-als
.k variance-s strat-ified strat-a
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.o @proportion@

.e [R] proportion postestimation
.c manual
.t Postestimation tools for proportion
.k stat-istics est-imation est-imates
.k propor-tions post-estimations post
.o @proportion postestimation@

.e [R] prtest
.c manual
.t One- and two-sample tests of proportions
.k prtest-i stat-istics immed-iate
.k test-s test-ing propor-tions nonpar-ametric non param-etric
.o @prtest@

.e [R] qc
.c manual
.t Quality control charts
.k cchart-s pchart-s rchart-s xchart-s shewhart stat-istics
.k qc quality control chart-s frac-tions defect-ive plot-s nonconform-ities
.k range dispers-ion control-lines line-s graph-s graph-ics graph-ing
.o @qc@

.e [R] qreg
.c manual
.t Quantile (including median) regression
.k qreg bsqreg stat-istics est-imation command-s iqreg sqreg _qreg
.k step-wise med-ians boot-strapped quartile-s
.k samp-ling propor-tional stand-ard err-ors std variance-s est-imates
.k quantile-s reg-ressions linear outlier-s percent-iles centile-s
.k l1-norm model-s mad lav least abs-olute dev-iations resid-uals min-imums
.k non param-etric nonpar-ametric interquart-ile interq-uantile range
.k simult-aneous dispers-ion
.o @qreg@

.e [R] qreg postestimation
.c manual
.t Postest. tools for qreg, iqreg, sqreg, & bsqreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k qreg iqreg sqreg bsqreg post-estimations post
.o @qreg postestimation@

.e [R] query
.c manual
.t Display system parameters
.k query util-ity display system param-eters default var-iables graph-s
.k line-size page-size color-s set-tings show stor-age type-s virtual matsize
.k shell more return mess-ages matr-ix size-s ado-files file-s mem-ory graph-ics
.k text signif-icance level video ansi log-s prog-rams trace prog-ramming
.k check-sum ado-size out-put seed text-size sum rmsg line-gaps gap-s dp
.k decim-al point-s comma-s europe-an log-type smcl efficiency network
.o @query@

.e [R] ranksum
.c manual
.t Equality tests on unmatched data
.k ranksum med-ians
.k stat-istics
.k test-s test-ing equal-ity unmatch-ed data
.k non param-etric nonpar-ametric
.k hyp-othesis hyp-otheses wilcox-on mann-whitney whitney fisher-s exact
.o @ranksum@

.e [R] ratio
.c manual
.t Estimate ratio
.k ratio-s
.k stat-istics est-imation est-imates command-s
.k variance-s strat-ified strat-a
.k err-ors conf-idence interv-als
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.o @ratio@

.e [R] ratio postestimation
.c manual
.t Postestimation tools for ratio
.k stat-istics est-imation est-imates
.k ratio post-estimations post
.o @ratio postestimation@

.e [R] reg3
.c manual
.t Three-stage estimation for systems of simultaneous equations
.k reg3 stat-istics est-imates est-imation reg-ressions command-s
.k 3sls three stage system-s simult-aneous eq-uations least sq-uares
.k seemingly unrel-ated model-s endog-enous exog-enous
.k structur-al gls general-ized iter-ated sur-e multiv-ariate disturb-ances
.k instrum-ental var-iables stochastic regressor-s
.o @reg3@

.e [R] reg3 postestimation
.c manual
.t Postestimation tools for reg3
.k pred-ictions
.k stat-istics est-imation est-imates
.k reg3 post-estimations post
.o @reg3 postestimation@

.e [R] regress
.c manual
.t Linear regression
.k reg-ressions stat-istics est-imation est-imates command-s linear
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k weight-ed pw-eights clus-tering
.k step-wise mult-iple eq-uations tsls 2sls collinear-ity multicol-linearity
.k beta coef-ficients weight-s structur-al two-stage stage
.k least sq-uared sq-uares dev-iations min-imums ordinary ols
.k r-squared model-s r-2 2 var-iables cov-ariances instrum-ental
.k variance-s std stand-ard err-ors huber white-s bias-ed sandw-ich
.o @regress@

.e [R] regress postestimation
.c manual
.t Postestimation tools for regress
.k pred-ictions estat
.k stat-istics est-imation est-imates
.k reg-ressions post-estimations post
.k fit avplot-s cprplot acprplot lvr2plot rvfplot rvpplot ovtest szroeter
.k hettest imtest dfbeta-s vif
.k linear mult-iple hetero-skedasticity hetero-scedasticity influ-ence
.k add-ed var-iables diagnos-tics
.k graph-ing graph-s graph-ics plot-s
.k adjust-ed partial resid-uals stud-entized compon-ents plus augment-ed
.k covratio lr r-squared sq-uared r-2 2 weight-s breusch pagan
.k dbeta-s delta beta dfit-s cook-sd d distance-s coef-ficients goodness
.k forecast-ing stand-ardised stand-ardized err-ors std min-imums ordinary ols
.k lever-age versus vs sq-uared fit-ted pred-ictor least dev-iations sq-uares
.k hat project-ion weight-ed variance-s jack-knifed jack-nifed
.k model-s sensitiv-ity outlier-s welsch mean-s weisberg ramsey test-ing
.k specifica-tion omit-ted reset test-s homosce-dasticity homoske-dasticity
.k compar-isons bonfer-ronis holm-s sidak-s cameron-s decomp-osition
.k info-rmation matr-ix
.o @regress postestimation@

.e [R] regress postestimation time series
.c manual
.t Postest. regress with time series
.k estat archlm bgodfrey durb-inalt dwatson watson dwstat
.k stat-istics est-imation est-imates
.k reg-ressions post-estimations post
.k time-series series autoregr-essive cond-itional arch
.k hetero-scedasticity hetero-skedasticity engle test-s test-ing stochastic
.k serial-ly corr-elations autocor-relations regressor-s
.k mov-ing ave-rages durb-inh h breusch godfrey lag-s lag-ged depend-ent
.k var-iables diagnos-tics
.o @regress postestimationts@

.e [R] #review
.c manual
.t Review previous commands
.k #review util-ity
.k review prev-iously command-s display typ-ed repeat-ing edit-ing view
.o @#review@

.e [R] roc
.c manual
.t Receiver-Operating-Characteristic (ROC) analysis
.k roc-tab roccomp rocgold stat-istics gold standard-s fit-s
.k receiver-s operating character-istics lorenz curv-es plot-s graph-s
.k graph-ing graph-ics gini pietra index indic-es ml-e max-imum like-lihood
.k area-s tabl-es conf-idence band-s compar-e bamber hanley mcneil specifici-ty
.k sensitiv-ity classif-ied classif-ications like-lihood ratio-s conting-ency
.k non param-etric nonpar-ametric test-s test-ing equal-ity bonfer-ronis sidak-s
.o @roc@

.e [R] rocfit
.c manual
.t Fit ROC models
.k roc-fit
.k stat-istics est-imation est-imates command-s max-imum like-lihood ml-e
.k receiver-s operating character-istics
.k fit-s model-s bina-ry latent var-iables
.o @rocfit@

.e [R] rocfit postestimation
.c manual
.t Postestimation tools for rocfit
.k roc-plot
.k stat-istics est-imation est-imates
.k roc-fit post-estimations post
.k receiver-s operating character-istics curv-es roc plot-s
.k graph-ics graph-ing graph-s conf-idence band-s
.o @rocfit postestimation@

.e [R] rologit
.c manual
.t Rank-ordered logistic regression
.k stat-istics rologit rank-s order-ed order-ing logis-tic logit est-imation
.k est-imates reg-ressions plackett luce model-s exploded conjoint choice based
.k prob-ability pw-eights weight-ing robust meth-ods samp-ling samp-les
.k clus-ters clus-tering command-s
.o @rologit@

.e [R] rologit postestimation
.c manual
.t Postestimation tools for rologit
.k pred-ictions
.k stat-istics est-imation est-imates
.k rologit post-estimations post
.o @rologit postestimation@

.e [R] rreg
.c manual
.t Robust regression
.k rreg stat-istics est-imation

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