統(tǒng)計(jì)方法在反洗錢監(jiān)測(cè)分析中的應(yīng)用.pdf

1、湖南大學(xué)碩士學(xué)位論文統(tǒng)計(jì)方法在反洗錢監(jiān)測(cè)分析中的應(yīng)用姓名：吳朝平申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：統(tǒng)計(jì)學(xué)指導(dǎo)教師：許鵬20090511統(tǒng)計(jì)方法竹j反洗錢怖測(cè)分析中的心用AbstractInrecentyears，theproblemofanti—moneylaunderinghasbeenarisingthegreatconceTnofacademiagovernmentdepartmentsandfinancialinstitutionsHow

2、ever，theinitialstageisstillthestudyonanti—moneylaunderingmonitoringandanalysisatdomesticandabroadespeciallyitiSablankhowtousethestatisticalmethodsintheissueofantimoneylaunderingmonitoringandanalysisalmostInthepaperqualit

3、ativeanalysisandquantitativeanalysisasacombinationofresearchmethods，onthebasisofresearchingandsummarizingtheresultsoftheantimoneylaunderingtheoreticalstudyandpracticalworkathomeandabroad，aimingatthecharacteristicsofcapit

4、alflowsofmoneylaunderingandthepossiblemeanstakenbymoneylaundererstoavoidthecharacteristicsnoticedandtheirowndetectedbyregulatoryauthoritiestheconceptofsuspicioustransactionismadearedefine，thenbasedonit，thearticleintroduc

5、esstatisticalmethodsintothefieldofmonitoringandanalysisofantimoneylaundering，and，fromtheviewsofdataanalyzedandobjectresearched，thepaperdesignsaseriesofsystematicstatisticalmonitoringmethodsinanti‘moneylaunderingareaThen，

6、thepaperdesigns2statisticalmodelstomonitormoneylaunderingusingthedataofcountydeposit、countypopulation，countylandareacountygovernmentfinancialexpenditureandcountygrossdomesticproductin“Chinasruralareasin2007Atlasofthedist

7、ributionoffinancialservices“releasedintheofficialwebsiteoftheChinaBankingRegulatoryCommissionandofthemainimportandexporttradeinthe”MonthlyReportofChinaseconomicboominChinaAnd，respectively，makinguseofthesetwomodels，theart

8、icleminitorstheexistenceandthetypeofmoneylaundering，andmoney—launderingriskratinginalllcounties，andmonitorsmoneylaunderingintheareaoftradefromjanuarytoiune，2008Finally，thearticlehasfoundinwhichcountythereisabigriskofmone

9、ylaunderingexisting，anditstypeandriskratingandinwhichfieldoftradethereismoneylaunderingexistinganditstypeandriskratingfromjanuarytojunein2008KeyWords：Anti—moneyLaundering；SuspiciousTransaction；Multipleregression；Classify