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

.t Specification link test for single-equation models
.k link-test stat-istics
.k post post-estimations est-imation est-imates command-s
.k specifica-tion test-s test-ing model-s func-tions reg-ressions
.k err-ors omit-ted var-iables hyp-othesis hyp-otheses goodness fit
.o @linktest@

.e [R] lnskew0
.c manual
.t Find zero-skewness log or Box-Cox transform
.k lnskew0 bcskew0 stat-istics
.k zero skew-ness log-s box-cox cox transfo-rmations
.k power-s norm-ality reexp-ressions asym-metry sym-metry
.o @lnskew0@

.e [R] log
.c manual
.t Echo copy of session to file or device
.k log-s using set on off util-ity echo copy-ing sess-ions file-s sav-ed batch
.k job-s sav-ing print-ing edit-ing out-putting out-puting result-s preserve
.k record-s display line-size size page-size close logtype smcl text cmdlog
.k .log
.o @log@

.e [R] logistic
.c manual
.t Logistic regression, reporting odds ratios
.k logis-tic stat-istics est-imation est-imates command-s logit
.k reg-ressions area prob-ability weight-ing robust meth-ods samp-ling samp-les
.k clus-ters pw-eights clus-tering dicho-tomous bina-ry outcome-s model-s ml-e
.k max-imum like-lihood step-wise risk-s linear epi-demiological epi-demiology
.k specifica-tion err-ors omit-ted diagnos-tics
.k case-controls control-s specifici-ty covariate-s patt-erns
.k masymp-totic m asymp-totic test-s test-ing pearson-s resid-uals
.k odds ratio-s project-ion var-iables sensitiv-ity hosmer lemeshow
.k huber white-s weight-ed stand-ard std bias-ed sandw-ich
.o @logistic@

.e [R] logistic postestimation
.c manual
.t Postestimation tools for logistic
.k pred-ictions estat clas gof lsens lroc lfit lstat
.k stat-istics est-imation est-imates
.k logis-tic post-estimations post
.k classif-ied classif-ications hosmer lemeshow goodness fit
.k delta beta deviance dfbeta-s lever-age pregibon dbeta-s
.k pearson-s resid-uals stand-ardized stand-ardised hat influ-ence
.k specifici-ty sensitiv-ity
.k receiver-s operating character-istics curv-es roc plot-s
.k graph-s graph-ics graph-ing
.o @logistic postestimation@

.e [R] logit
.c manual
.t logistic regression, reporting coefficients
.k logit 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 max-imums like-lihood ml-e logis-tic reg-ressions
.k bina-ry outcome-s model-s dicho-tomous risk-s ml-e
.k step-wise odds ratio-s
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.o @logit@

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

.e [R] loneway
.c manual
.t Large one-way ANOVA, random effects, and reliability
.k loneway stat-istics
.k one-way way anal-ysis variance-s anova rand-om effect-s reliab-ility
.k corr-elate corr-elations intraclus-ter est-imation roh compon-ents design-s
.k kish model-s block-ed hier-archical samp-les within between cell-s
.k group-s intra-groups mean-s est-imates factor-s
.k ols ordinary least sq-uares reg-ressions linear intra-class coef-ficients
.o @loneway@

.e [R] lowess
.c manual
.t Lowess smoothing
.k stat-istics graph-s graph-ics graph-ing
.k smooth-ing lowess loess local-ly weight-ed scat-terplots plot-s
.k reg-ressions noise two-way way display robust bina-ry width band-width
.o @lowess@

.e [R] lrtest
.c manual
.t Likelihood-ratio test after estimation
.k lrtest stat-istics
.k post post-estimations est-imation est-imates command-s
.k test-s test-ing like-lihoodratio ratio-s like-lihood model-s
.k coef-ficients saturated constrain-ed hyp-othesis hyp-otheses
.k constrain-ts restric-ted restric-tions goodness fit reg-ressions
.k aic bic akaike-s information criterion bayes-ian
.o @lrtest@

.e [R] lv
.c manual
.t Letter-value displays
.k lv stat-istics graph-s graph-ics graph-ing
.k letter-values value-s display-s
.k interquart-ile range iqr
.k distrib-utions med-ians norm-ality univar-iate quantile-s quartile-s
.k central tend-ency kurt-osis locat-ions meas-ures summ-ary
.k dispers-ion percent-iles skew-ness spread summ-arize descrip-tive
.k fence-s midsum-maries outlier-s mild outside pseudosigma-s severe
.k max-imums max-ima min-imums min-ima pop-ulations sym-metry
.k stand-ard dev-iations std variance-s asym-metry centile-s est-imates
.k elong-ation re-expressions expr-essions
.o @lv@

.e [R] matsize
.c manual
.t Set the maximum number of variables in a model
.k matsize set util-ity
.k max-imums num-bers var-iables model-s
.k matr-ices rhs est-imation indep-endent control mem-ory size-s limit-s
.k est-imates increase matr-ix
.o @matsize@

.e [R] maximize
.c manual
.t Details of iterative maximization
.k tech-nical iter-ative max-imization newton-raphson raphson
.k converg-ence crite-ria info-rmation matr-ix
.k control num-bers iter-ations tol-erances iter-ate ltol-erance gtol-erance
.k technique expla-ined expla-nation r-squared sq-uared diffi-cult from
.k pseudo-rsquared determ-ination determ-ine achie-ved r-2
.k log-likelihood func-tions trace change transfo-rmations exp-onentiated form
.k est-imation ml-e max-imum like-lihood value-s max-imize est-imates
.k chi-squared sq-uared chi-2 2 def-ine def-initions reg-ressions
.o @maximize@

.e [R] mean
.c manual
.t Estimate means
.k mean-s
.k stat-istics est-imation est-imates command-s
.k ave-rages display geom-etric harmon-ic arith-metic conf-idence inter-vals
.k stand-ard err-ors std variance-s strat-ified strat-a
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.o @mean@

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

.e [R] meta
.c manual
.t Meta-analysis
.k meta anal-ysis stat-istics

.e [R] mfp
.c manual
.t Multivariable fractional polynomial models
.k stat-istics mfp est-imation est-imates command-s
.k frac-tional poly-nomials model-s
.k reg-ressions transfo-rmations norm-ality multivariable clogit glm logis-tic
.k logit ologit oprobit poisson probit qreg stcox streg xtgee
.o @mfp@

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

.e [R] mfx
.c manual
.t Obtain marginal effects or elasticities after estimation
.k mfx stat-istics marginal effect-s elas-ticities elas-ticity deriv-atives
.k post post-estimations est-imation est-imates command-s
.o @mfx@

.e [R] mkspline
.c manual
.t Linear spline construction
.k mkspline stat-istics graph-s graph-ics graph-ing spline-s piecewise linear
.k reg-ressions knot-s
.o @mkspline@

.e [R] ml
.c manual
.t Maximum likelihood estimation
.k ml-e prog-ramming prog-rams est-imation max-imum like-lihood command-s
.k matr-ix eq-uations max-imization max-imize newton-raphson raphson meth-ods
.k matr-ices est-imates wald gradient hessian iter-ative iter-ations iter-ate
.k stat-istics constrain-ts constrain-ed restric-ted restric-tions
.k mleval mlsum mlvecsum mlmatsum mlmatbysum mlmethod
.o @ml@, @mleval@, @mlmethod@

.e [R] mlogit
.c manual
.t Multinomial (polytomous) logistic regression
.k mlogit stat-istics est-imation est-imates command-s
.k reg-ressions multin-omial
.k polyt-omous logis-tic logit cat-egorical ml-e max-imum like-lihood
.k case-controls control-s odds ratio-s risk-s model-s
.k constrain-ed constrain-ts robust meth-ods clus-ters clus-tering clus-tered
.k scor-es mcfadden-s choice
.o @mlogit@

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

.e [R] more
.c manual
.t The --more-- message
.k more set prog-ramming prog-rams pause key-s wait
.k control scrol-ling out-putting out-puting consol-e screen paging
.o @more@

.e [R] mprobit
.c manual
.t Multinomial probit regression
.k mprobit
.k stat-istics est-imation est-imates command-s ml-e max-imum like-lihood
.k multin-omial probit reg-ressions choice model-s outcome-s
.o @mprobit@

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

.e [R] mvreg
.c manual
.t Multivariate regression
.k mvreg stat-istics est-imation est-imates command-s
.k multiv-ariate reg-ressions anal-ysis
.k linear mult-iple compar-isons model-s
.k breusch pagan least sq-uares ordinary ols
.o @mvreg@

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

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

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

.e [R] net
.c manual
.t Install and manage user-written additions from the net
.k net util-ity from cd link describ-e set query instal-lation get download-ing
.k uninstall ado-files .ado stata user-s writ-ten add-itions web www internet
.k file-s package-s stb-s sj-s tsj-s site-s .pkg pkg usersite
.k .mnu .idlg .key .scheme .style hlp-files dlg class mnu idlg key scheme style
.k .hlp .dlg .class .dta dta
.o @net@, @usersite@

.e [R] net search
.c manual
.t Search Internet for installable packages
.k net util-ity search find stata user-s writ-ten add-itions www internet
.k package-s download-ing stb-s file-s site-s pkg .pkg toc .toc tocpkg
.k ado-files .ado instal-lation web-seek seek sj-s tsj-s
.o @net@

.e [R] netio
.c manual
.t Control Internet connections
.k internet www web conn-ections set timeout-1 timeout-2 httpproxy-host
.k proxy http host-s httpproxy-port port-s new-s upd-ate
.k httpproxy-auth httpproxy-user httpproxy-pw
.k url copy-ing type use net-work server-s num-bers on off netio
.o @netio@

.e [R] news
.c manual
.t Report Stata news
.k new-s util-ity stata www web internet net
.k what-'s is what-snew
.o @news@

.e [R] nl
.c manual
.t Nonlinear least-squares estimation
.k nl nlinit stat-istics est-imation est-imates command-s
.k non linear nonlin-ear reg-ressions least sq-uares
.k mult-iple log-s sq-uared dev-iations min-imums
.o @nl@

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

.e [R] nlcom
.c manual
.t Nonlinear combinations of estimators
.k stat-istics nlcom comb-inations
.k post post-estimations est-imation est-imates command-s
.k nonlin-ear non lin-ear est-imators coef-ficients point-s std err-ors
.k stand-ard conf-idence interv-als survey-s svy
.o @nlcom@

.e [R] nlogit
.c manual
.t Nested logit regression
.k nlogit-gen nlogittree stat-istics nest-ed nest-ing est-imation est-imates
.k tree-s structure ml-e max-imum like-lihood logit reg-ressions robust
.k meth-ods huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.k level-s mcfadden-s choice mlogit multin-omial polyt-omous logis-tic
.k cat-egorical model-s command-s
.o @nlogit@

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

.e [R] nptrend
.c manual
.t Test for trend across ordered groups
.k nptrend stat-istics
.k test-s test-ing trend nonpar-ametric non param-etric order-ed group-s
.o @nptrend@

.e [R] ologit
.c manual
.t Ordered logistic regression
.k ologit stat-istics est-imation est-imates command-s
.k max-imum like-lihood order-ed logit logis-tic 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 @ologit@

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

.e [R] oneway
.c manual
.t One-way analysis of variance