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Training statistics and statisticians. Tamás Rudas Department of Statistics Faculty of Social Sciences Eötvös Loránd University. Which skills ? – A moving target. Cannot train for a „ new ” statistics One does not know what this new statistics is going to be
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Trainingstatistics and statisticians Tamás Rudas Department of Statistics Faculty of SocialSciences Eötvös Loránd University
Whichskills? – A movingtarget Cannottrainfor a „new” statistics Onedoesnotknowwhatthisnewstatistics is goingto be Needtotrainforadaptation Conflictbetweenapplyingstrictlydefinedrules and procedures, and being opentofundamentallyrevisethem Needtodevelopthe right attitude, asmuchastoteachmethods
Somenewtrends – datacollection Growingrelianceonsurveys A changingview of thetotalerror (sampling and non-sampling) Shift fromactivetopassivedatacollection Fromsurvey and censustoadministrativeandcommercialbigdata Differenttechniques Differentconcepts of quality Differentpoliticalposition
Somenewtrends – dataanalysis Usingsamplingweights Modelbasedanalysis Fromlinearregressionto multilevelmodeling, non-linearrelationships, categoricaldata, higherorderinteractions Exploratoryanalysis datamining, machinelearning
Somenewtrends – datareporting Directaccess Interactiveaccess Fortheresearcher, thedecisionmaker, thelayman Responsestoquestionsnotknownatthetime of datacollection
Trainingonthejob Trainingforwhat? Betterexcution of theexistingmethods? Abilitytorecognizewhennewmethodsareneeded? Propose and developnewmethods? Test and comparenewmethods?
Rigour and innovation – differentactors Differentskillsareneeded Best representedbydifferentactors Some roleswithintheorganization, someoutside Dynamicbalancebetweenthedifferentskills
Balancebetweenrigour and innovation Onthejobtrainingshouldachieve a balancebetweenrigour and innovation Developnotonlyskillsbutalsoattitudes Supportinnovationoutside of theorganization Everyprofession is conservative The leadersmeedto be innovative