Transcription of Title stata.com bootstrap — Bootstrap sampling and estimation
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Title stata.com bootstrap — Bootstrap sampling and estimation
Bootstrap sampling and estimationSyntaxMenuDescriptionOptionsRe marks and examplesStored resultsMethods and formulasReferencesAlso seeSyntaxbootstrapexplist[,options eformoption]:commandoptionsDescriptionMa inreps(#)perform# Bootstrap replications; default isreps(50)Optionsstrata(varlist)variable s identifying stratasize(#)draw samples of size#; default isNcluster(varlist)variables identifying resampling clustersidcluster(newvar)create new clusterIDvariablesaving(filename,..)save results tofilename; save statistics in double precision;save results tofilenameevery#replicationsbcacompute acceleration forBCaconfidence intervalstiesadjustBC/BCa confidence intervals for tiesmseuseMSEformula for variance estimationReportinglevel(#)set confidence level; default islevel(95)notablesuppress table of resultsnoheadersuppress table headernolegendsuppress table legendverbosedisplay the full table legendnodotssuppress replication dotsnoisilydisplay any output fromcommandtracetracecommandtitle(text)u setextas Title for Bootstrap resultsdisplayoptionscontrol column formats, row spacing, line width, display of omittedvariables and base and empty cells, and factor-variable labelingeformoptiondisplay coefficient table in exponentiated formAdvanc
bootstrap— Bootstrap sampling and estimation 3 Because bootstrapping is a random process, if you want to be able to reproduce results, set the random-number seed by specifying the seed(#) option or by typing
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