stata6.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 Capabilities:  tables for epidemiologists
.k examp-les stat-istics epitab ir-i incid-ence rate-s
.k tabl-es epi-demiological epi-demiology tab-ulate
.x
	@browser:http://www.stata.com/capabilities/epitab.html!http://www.stata.com/capabilities/epitab.html@

.e Example
.c faq
.t Capabilities:  nonlinear regression
.k examp-les stat-istics nl nonlin-ear reg-ressions
.x
	@browser:http://www.stata.com/capabilities/nlreg.html!http://www.stata.com/capabilities/nlreg.html@

.e Example
.c faq
.t Capabilities:  matrix language
.k examp-les matr-ix matr-ices prog-ramming prog-rams
.x
	@browser:http://www.stata.com/capabilities/matrixlang.html!http://www.stata.com/capabilities/matrixlang.html@

.e Example
.c faq
.t Capabilities:  obtaining user-written programs
.k examp-les util-ity search net instal-lation user-s writ-ten add-itions
.k ado-files .ado prog-rams
.x
	@browser:http://www.stata.com/capabilities/userwritten.html!http://www.stata.com/capabilities/userwritten.html@

.e Example
.c faq
.t Capabilities:  obtaining official updates over the internet
.k examp-les util-ity upd-ates offici-al www net internet web
.x
	@browser:http://www.stata.com/capabilities/update.html!http://www.stata.com/capabilities/update.html@

.e Example
.c faq
.t Stata web books:  Regression with Stata
.a Chen, Ender, Mitchell & Wells (UCLA Academic Technology Services)
.k ucla examp-les book-s chen ender mitchell wells data-sets set-s manage-ment
.k stat-istics util-ity graph-s graph-ics graph-ing use sav-ed mkdir cd count-s
.k reg-ressions summ-arize describ-e descrip-tions descrip-tive var-iables
.k obs-ervations list-s codebook code-s book-s tab-ulate tab-ulations plot-s
.k hist-ograms box-plots box and whisker scat-terplots vif stem stem-andleaf
.k and-leaf and leaf matr-ix matr-ices pred-ictions net from web www internet
.k file-s instal-lation resid-uals beta coef-ficients test-s test-ing pwcorr
.k corr-elate corr-elations norm-ality distrib-utions kdensity kern-el dens-ity
.k symplot sym-metry qnorm quantile-s pnorm prob-ability ladder gladder power-s
.k transfo-rmations gen-erate stud-entized lever-age lvr2plot dfit-s cook-sd d
.k dfbeta-s avplot-s add-ed swilk shapiro-wilk wilk rvfplot fit-ted versus vs
.k hettest hetero-skedasticity hetero-scedasticity collinear-ity acprplot
.k compon-ents plus augment-ed linear link-test specifica-tion ovtest omit-ted
.k reset dwstat durb-in watson ttest t-tests mean-s anova anal-ysis variance-s
.k dum-my dum-mies cat-egorical indica-tor xi char charac-teristics separ-ate
.k anocova ancova cov-ariances adjust-ed robust clus-tering clus-ters rreg
.k qreg med-ians testparm constrain-ed constrain-ts cnsreg censor-ing censor-ed
.k tobit truncreg trun-cated eivreg err-ors in sureg seemingly unrel-ated sur-e
.k mvreg multiv-ariate multicol-linearity mult-iple ols model-s
.k helmert orthog-onal poly-nomials reference category categories
.k deviation contrast-s diff-erences bsqreg iqr iqreg sqreg indep-endent
.k ordinary least sq-uares simple list-coef diagnos-tics indep-endence
.k homosce-dasticity homoske-dasticity homog-eneity outlier-s hilo
.k white-tst xi3 sme forw-ard coding backward reverse-d
.x
	3/04	web book ^Regression with Stata^ by (in alphabetical
		order) Xiao Chen, Philip B. Ender, Michael Mitchell
		& Christine Wells
		@browser:http://www.ats.ucla.edu/stat/stata/webbooks/reg/default.htm!http://www.ats.ucla.edu/stat/stata/webbooks/reg/@

.e Example
.c faq
.t Applied Longitudinal Data Anal.: Modeling Change & Event Occurrence
.a UCLA Academic Technology Services
.k ucla examp-les book-s singer willett
.k stat-istics est-imates est-imation longi-tudinal data-sets set-s
.k anal-ysis change reshape wide long list-s corr-elate corr-elation
.k sort graph-s graph-ing graph-ics ksm lowess statsby
.k stem-andleaf and-leaf and leaf reg-ressions egen summ-ary summ-arize
.k tol-erance pred-ictions gllamm-6 tab-ulate tab-ulations tabl-es
.k hist-ograms life ltable describ-e haz-ards model-s discrete time
.k logit odds fitstat st-set sts st-cox cox test-s test-ing
.k breslow wald like-lihood ratio-s lrtest efron strat-ified
.k multi-level level nonlin-ear non linear cov-ariances structure event
.k occu-rrence gen-erate extend-ed lfit scat-terplots plot-s estat
.k mixed effect-s max-imum ml-e xt-mixed qnorm xi-: : rand-om fix-ed
.x
	5/05	examples from the book ^Applied Longitudinal Data^
		^Analysis: Modeling Change and Event Occurrence^
		by Judith D. Singer and John B. Willett
		@browser:http://www.ats.ucla.edu/stat/stata/examples/alda/!http://www.ats.ucla.edu/stat/stata/examples/alda/@

.e Example
.c faq
.t Practical Methods for Design & Analysis of Complex Surveys, 2nd Ed.
.a UCLA Academic Technology Services
.k ucla examp-les book-s lehtonen pahkinen
.k samp-les samp-ling survey-s svy-: : svyset set-s total-s
.k est-imates est-imation ratio-s rand-om anal-ysis fpc pop-ulations
.k correct-ion weight-s weight-ed weight-ing pw-eights
.k design-s psu strat-a strat-ified meth-ods complex two-stage stage
.k clus-ters linear reg-ressions est-imators estat effect-s
.x
	5/05	examples from the book ^Practical Methods for^
		^Design & Analysis of Complex Surveys, Second^
		^Edition^ by Risto Lehtonen and Erkki Pahkinen
		@browser:http://www.ats.ucla.edu/stat/stata/examples/svy_pmdacs/default.htm!http://www.ats.ucla.edu/stat/stata/examples/svy_pmdacs/@

.e Example
.c faq
.t Textbook examples: Elementary Survey Sampling, 5th Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s scheaffer mendenhall ott
.k stat-istics survey-s samp-les samp-ling simple strat-ified strat-a ratio-s
.k reg-ressions diff-erences est-imates est-imation clus-ters
.k pop-ulations size rename label-s destring hist-ograms
.k stem-andleaf and-leaf and leaf graph-s graph-ics graph-ing
.k box-plots whisker hbox horizont-ally tabstat
.k two-way tab-s tab-ulate tab-ulations list-s drop-ped sort by
.k mean-s svy-: : total-s pw-eights psu display gen-erate scat-terplots plot-s
.k corr-elate corr-elations anova r-squared sq-uared r-2 2
.k infix infile set-s data-sets manage-ment compress stage
.k rand-om bin-s over lfit encode estat effect-s
.x
	5/05	examples from the book ^Elementary Survey Sampling,^
		^Fifth Edition^ by Richard Scheaffer, William
		Mendenhall, & Lyman Ott
		@browser:http://www.ats.ucla.edu/stat/stata/examples/ess5/!http://www.ats.ucla.edu/stat/stata/examples/ess5/@

.e Example
.c faq
.t Textbook examples: Sampling: Design and Analysis
.a UCLA Academic Technology Services
.k ucla book-s lohr design-s
.k simple prob-ability ratio-s clus-ters anal-ysis
.k stat-istics est-imates est-imation linear reg-ressions
.k samp-les samp-ling survey-s strat-ified strata complex
.k variance-s cat-egorical data-sets set-s manage-ment svy-: :
.k mean-s svyset svydes graph-ics graph-s graph-ing
.k scat-terplots plot-s tabstat two-way box-plots hist-ograms
.k total-s anova estat effect-s tab-s tab-ulate tab-ulations
.x
	4/05	examples from the book ^Sampling: Design and^
		^Analysis^ by Sharon L. Lohr
		@browser:http://www.ats.ucla.edu/stat/stata/examples/lohr/!http://www.ats.ucla.edu/stat/stata/examples/lohr/@

.e Example
.c faq
.t Design and Analysis: A Researchers Handbook Third Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s keppel stat-istics anova anal-ysis variance-s model-s
.k anocova ancova cov-ariances design-s recode trend factori-al contrast-s
.k adjust-ed tabl-es repeat-ed meas-ures within
.k test-s test-ing reg-ressions xi-2 omega-2 main effect-s fail-ure
.x
	3/05	examples from the book ^Design and Analysis: A^
		^Researchers Handbook Third Edition^ by Geoffrey Keppel
		@browser:http://www.ats.ucla.edu/stat/stata/examples/da!http://www.ats.ucla.edu/stat/stata/examples/da/@

.e Example
.c faq
.t Textbook: Econometric Analysis of Cross Section & Panel Data
.a UCLA Academic Technology Services
.k ucla examp-les book-s wooldridge
.k stat-istics est-imates est-imation like-lihood model-s ml-e max-imum
.k asymp-totic cond-itional linear ordinary least sq-uares ols
.k instrum-ental var-iables gls general-ized effect-s mom-ents
.k min-imums distance d corner-s outcome-s censor-ed censor-ing
.k samp-ling samp-les strat-ification strat-ified strat-a strat-um
.k ave-rages treat-ments count-s duration anal-ysis reg-ressions
.k iv-reg2 pred-ictions test-s test-ing xt-reg cross section-al
.k discrete response-s tobit st-set tsset streg panel-s mlogit
.k logit lstat heckman selec-tion probit unrel-ated fitstat
.k hansen sureg xt-gls time-series series seemingly matr-ix matr-ices
.x
	3/05	examples from the book ^Econometric Analysis of Cross^
		^Section and Panel Data^ by Jeffrey M. Wooldridge
		@browser:http://www.ats.ucla.edu/stat/stata/examples/eacspd/!http://www.ats.ucla.edu/stat/stata/examples/eacspd/@

.e Example
.c faq
.t Regression Models for Categorical and Limited Dependent Variables
.a UCLA Academic Technology Services
.k ucla stat-istics est-imates est-imation reg-ressions
.k limit-s limit-ed depend-ent var-iables cat-egorical
.k continu-ous linear bina-ry outcome-s model-s probit logit prob-ability
.k pred-ictions hyp-othesis hyp-otheses goodness fit test-s test-ing
.k like-lihood ratio-s lrtest wald pearson-s resid-uals order-ed
.k anal-ysis oprobit ologit logit logistic marginal effect-s
.k cumul-ative multin-omial mlogit tobit prgen count-s poisson neg-ative
.k binom-ial nbreg describ-e list-coef display spostado prchange prtab
.k store label-s fitstat lstat lincom brant mlogtest mlogplot prcounts
.x
	3/05	examples from the book ^Regression Models for Categorical^
		^and Limited Dependent Variable^ by J. Scott Long
		@browser:http://www.ats.ucla.edu/stat/stata/examples/long/!http://www.ats.ucla.edu/stat/stata/examples/long/@

.e Example
.c faq
.t Textbook Examples:  Econometric Analysis, Fourth Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s greene stat-istics reg-ressions robust rvpplot plot-s
.k graph-s graph-ics graph-ing resid-uals versus vs pred-ictor pred-ictions
.k matr-ix matr-ices xt-reg cross section-al time-series series panel-s lincom
.k linear comb-inations fix-ed rand-om effect-s model-s stage least sq-uares
.k reg3 xt-regar ar autoregr-essive autocor-related autocor-relations iv-reg
.k instrum-ental var-iables two 2sls three 3sls endog-enous exog-enous logit
.k logis-tic mfx marginal accum-ulate probit ml-e prog-ramming prog-rams
.k max-imum like-lihood max-imization max-imize hetprob hetero-scedasticity
.k hetero-skedasticity nlogit-gen nlogittree nest-ed nest-ing poisson clogit
.k cond-itional constrain-ed constrain-ts lrtest like-lihoodratio ratio-s
.k test-s test-ing poisgof discrete depend-ent limit-s limit-ed information
.k simult-aneous eq-uations data-sets set-s regh reghv white-tst breusch
.k pagan bpagan mean-s ivg-mm0
.x
	3/05	examples from the book ^Econometric Analysis, Fourth^
		^Edition^ by William Greene
		@browser:http://www.ats.ucla.edu/stat/examples/greene/!http://www.ats.ucla.edu/stat/examples/greene/@

.e Example
.c faq
.t Applied Regression Analysis, Linear Models, and Related Methods
.a UCLA Academic Technology Services
.k ucla examp-les book-s fox stat-istics graph-s graph-ics graph-ing ksm rreg
.k reg-ressions smooth-ing robust scat-terplots box-plots plot-s kdensity
.k stem-andleaf and-leaf and leaf display-s jitter-ing matr-ix matr-ices mkmat
.k separ-ate tabl-es pred-ictions test-s test-ing testparm summ-arize anova
.k anal-ysis variance-s cov-ariances codebook hat resid-uals stud-entized
.k dfbeta-s cook-sd d avplot-s qnorm cprplot xi dum-my var-iables dum-mies
.k cat-egorical indica-tor box-cox cox vif corr-elate corr-elations corrgram
.k correlo-grams ac autocor-relations nl non linear nonlin-ear qreg quantile-s
.k cross lowess loess logis-tic lrtest like-lihoodratio ratio-s logit mlogit
.k multin-omial polyt-omous ologit ordered egen gen-erate
.k mean-s time-series series gls general-ized least sq-uares sq-uared
.k weight-ed contrast-s
.x
	2/05	examples from the book ^Applied Regression Analysis,^
		^Linear Models, and Related Methods^ by John Fox
		@browser:http://www.ats.ucla.edu/stat/stata/examples/ara/!http://www.ats.ucla.edu/stat/stata/examples/ara/@

.e Example
.c faq
.t Textbook examples:  Applied Logistic Regression (2nd Edition)
.a UCLA Academic Technology Services
.k ucla examp-les book-s hosmer lemeshow stat-istics reg-ressions logis-tic
.k logit graph-s graph-ics graph-ing scat-terplots plot-s collapse list-s lfit
.k vce recode gen-erate tab-ulate tab-ulations by sort expand data-sets set-s
.k manage-ment lrtest like-lihoodratio ratio-s test-s test-ing lincom linear
.k comb-inations tab2 xi pred-ictions ksm smooth-ing lowess loess lstat lsens
.k lroc roc curv-es receiver operating charac-teristics input-ting input-ing
.k sensitiv-ity specifici-ty survey-s svy-: : strat-a strat-um psu mlogit
.k multin-omial constrain-ed constrain-ts ologit order-ed xt-logit
.k loneway fit-ting ocratio continu-ous continuation est-imates est-imation
.k case-controls control-s match-ed study studies samp-ling samp-les model-s
.x
	2/05	examples from the book ^Applied Logistic Regression^
		^(2nd Edition)^ by David Hosmer and Stanley Lemeshow
		@browser:http://www.ats.ucla.edu/stat/stata/examples/alr2/!http://www.ats.ucla.edu/stat/stata/examples/alr2/@

.e Example
.c faq
.t Textbook examples:  Regression Analysis by Example, Third Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s chatterjee hadi price stat-istics reg-ressions list-s
.k graph-s graph-ics graph-ing plot-s scat-terplots egen gen-erate mean-s
.k pred-ictions resid-uals corr-elate corr-elations test-s test-ing cnsreg
.k constrain-ed constrain-ts avplot-s add-ed var-iables cprplot dum-my dum-mies
.k rvfplot rvpplot tab-ulate tab-ulations tab1
.k adjust-ed tabl-es input-ting input-ing
.k data-sets set-s manage-ment dwstat durb-in watson prais-winsten winsten
.k cochrane-orcutt orcut-t autocor-relations matr-ix matr-ices factor-s scor-e
.k princ-ipal compon-ents anal-ysis sw step-wise logit logis-tic dbeta-s hat
.k lever-age deviance lrtest like-lihoodratio ratio-s qualita-tive model-s
.k collinear-ity transfo-rmations weight-ed least sq-uares bias-es
.k two-step step
.x
	2/05	examples from the book ^Regression Analysis by^
		^Example, Third Edition^ by Samprit Chatterjee,
		Ali S. Hadi & Bertram Price
		@browser:http://www.ats.ucla.edu/stat/stata/examples/chp/!http://www.ats.ucla.edu/stat/stata/examples/chp/@

.e Example
.c faq
.t Textbook examples: Computer-Aided Multivariate Analysis, Fourth Ed
.a UCLA Academic Technology Services
.k ucla examp-les book-s afifi clark
.k stat-istics est-imates est-imation like-lihood ratio-s multiv-ariate
.k anal-ysis linear reg-ressions corr-elate corr-elations mult-iple
.k simple canon-ical logis-tic surviv-al xi-2 xi3
.k princ-ipal compon-ents factor-s clus-ters
.k log-linear sets-s data-sets gen-erate pred-ictions centroid-linkage
.k graph-s graph-ing graph-ics summ-ary summ-arize qnorm cov-ariances
.k reshape drop-ped tabstat eigen-vectors eigen-values greigen sort by
.k comb-inations propor-tional discrim-inant scat-terplots func-tions
.k matr-ix matr-ices coef-ficients stand-ardized stand-ardised
.k logit tab-s st-set
.k streg stcox cox fit-ting weib-ull breslow rotate two-way separ-ate
.k tabl-es rename recode pearson-s general-lized model-s glm lrtest
.k poisson freq-uency freq-uencies weight-s weight-ed weight-ing
.k cancor ltable stset sts lsens
.k tab-ulate tab-ulations tab-chi tabchi test-s test-ing
.x
	2/05	examples from the book ^Computer-Aided Multivariate^