存在輔助信息時(shí)屬性特征敏感問題調(diào)查的隨機(jī)化模型.pdf

1、分類號(hào):UDC:學(xué)校代碼:10128學(xué)號(hào):20041014油考褚聲素大箏碩士學(xué)位論文題目:存在輔助信息時(shí)屬性特征敏感問題調(diào)查的隨機(jī)化模型英文題目:Randomizedresponsemode一orsensitiveSurveyforqualitativecharactersusingAuxiliaryinformation研究生:王靜宇學(xué)科名稱:計(jì)算數(shù)學(xué)指導(dǎo)教師:閏在在教授二00七年五月ABSTRACTRandomizedresPons

2、eteehniqueeomeintobeinganddeveloPfromPraetiealit從aPPlytomanydomainssuehasinsurveyingsensitivequestionsinsoeiety.FOrthereeent40years，researehershavebeentryingtoimProvetherandomizeddevieeandsamPlingdesigninordertobemoreeff

3、ieientandaeeurateinsurveythatalsoimProvesrandomizedresPonse.Infaet，therearesomeknownauxiliaryinfmationsandPreviousdataseanalsobeusedtoimProvetheeffieieneyoftheestimatorsandthelevelofresPondenteooPerationandtheaeeuraey50f

4、ar，thestudyofrandomizedresPonsesurveyineludingtheauxiliaryvariables(ineludingqualitativequantitativeeharaeters)hasnotseen.InthisPaPer，therandomsamPlingmodeltriestothefaetorauxiliaryinfmationsandPreviousdatasintwosubmodel

5、一RatioestimationmodelandRegressionestimationmodel.RatioestimationmodelhasdeveloPedfsomeexistinginvestigationsbythewayofusingtheAuxiliaryinfmationinordertoestimatanunknownProPortionofthePoPulationbearingasensitiveeharaete

6、ristie.Regressionestimationmodelwasdesignedtostudytheetieallywheneoeffieient盡15variableinRegressionestimationmeanandvarianee，andeomParethemtow叔rnerModel，andatlast，itwasProvedthatthetheoretieallresultoftheRegressionestima

7、tion15unifmbyusingRProeess.lt15demonstratedthesuPerioritytheProPosedProeedureoverw叔rnerProeedure.TOthefaireomParisonbetweenthequantitativeeharaeteristierandomizedresPonseteehniques，therehavebeennotrelatedstudy50far.ThePu

8、rPoseofthisPaPer15totakefairlyeomParisontoearliersomequantitativeeharaeteristierandomizedresPonsestrategies.ThereareseveralimPortantdiffereneebetweenresultsobtainedinthisPaPerandsomeknownresults.、V映mustreevaluatetheseear