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大小:225.50 KB
页数:34页
时间:2018-03-15
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1、三、InvestmentTools:QuantitativeMethods1.A:SamplingandEstimationa:Definesimplerandomsampling.Simplerandomsamplingisamethodofselectingasampleinsuchawaythateachitemorpersoninthepopulationbeginstudiedhasthesame(non-zero)likelihoodofbeingincludedinthesample.Thisisthestandards
2、amplingdesign.b:Defineandinterpretsamplingerror.Samplingerroristhedifferencebetweenasamplestatistic(themean,variance,orstandarddeviationofthesample)anditscorrespondingpopulationparameter(themean,varianceorstandarddeviationofthepopulation). Thesamplingerrorofthemean=samp
3、lemean-populationmean=Xbar-µ.c:DefineasamplingdistributionThesamplestatisticitselfisarandomvariable,soitalsohasaprobabilitydistribution.Thesamplingdistributionofthesamplestatisticisaprobabilitydistributionmadeupofallpossiblesamplestatisticscomputedfromsamplesofthesamesi
4、zerandomlydrawnfromthesamepopulation,alongwiththeirassociatedprobabilities.d:Distinguishbetweensimplerandomandstratifiedrandomsampling.Simplerandomsamplingiswheretheobservationsaredrawnrandomlyfromthepopulation.Inarandomsampleeachobservationmusthavethesamechanceofbeingd
5、rawnfromthepopulation.Thisisthestandardsamplingdesign.?Stratifiedrandomsamplingfirstdividesthepopulationintosubgroups,calledstrata,andthenasampleisrandomlyselectedfromeachstratum.Thesampledrawncanbeeitheraproportionaloranon-proportionalsample.Aproportionalsamplerequires
6、thatthenumberofitemsdrawnfromeachstratumbeinthesameproportionasthatfoundinthepopulation.e:Distinguishbetweentime-seriesandcross-sectionaldata.Atime-seriesisasampleofobservationstakenataspecificandequallyspacedpointsintime.ThemonthlyreturnsonMicrosoftstockfromJanuary1990
7、toJanuary2000areanexampleoftime-seriesdata. Cross-sectionaldataisasampleofobservationstakenatasinglepointintime.ThesampleofreportedearningspershareofallNasdaqcompaniesasofDecember31,2000isanexampleofcross-sectionaldata.f:Statethecentrallimittheoremanddescribeitsimportan
8、ce.Thecentrallimittheoremtellsusthatforapopulationwithameanµandafinitevariance σ2,thesamplingdistributionofthe
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