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简介：在这份报纸，模仿大聚类系数和在许多真实建筑群存在的模块化的结构的一个随机的派系网络模型联网，例如社会网络，人工的网络，和蛋白质相互作用网络，吗被联合Erd的随机的选择规则介绍?s和R.愠辀?辀吗？？

简介：Thispaperstudiestherelationshipbetweentwoprincipaltoolsfortheanalysisofnetworktraffic,namely,effectivebandwidthandnetworkcalculus.Itisshownthatageneralformulationofeffectivebandwidthcanbeexpressedwithintheframeworkofaprobabilisticversionofthenetworkcalculus,wherebotharrivalsandservicearespecifiedintermsofprobabilisticbounds.Aggregateschedulingwithstatisticalserviceassurancesbasedonstatisticalnetworkcalculusispresentedbystrongeffectiveenvelopefunction,insteadofcommonlyusedeffectiveenvelopetoobtainboundsontheamountoftrafficonalink,theproposedschemecanovercometheoverestimationofthenumberofadmittedflows,whichmakesitsuperiortothepreviousschemeespeciallywhenimplementingcalladmissioncontrol.

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简介：Statisticalapproachesforevaluatingcausaleffectsandfordiscoveringcausalnetworksarediscussedinthispaper.Acausalrelationbetweentwovariablesisdifferentfromanassociationorcorrelationbetweenthem.Anassociationmeasurementbetweentwovariablesandmaybechangeddramaticallyfrompositivetonegativebyomittingathirdvariable,whichiscalledYule-Simpsonparadox.WeshalldiscusshowtoevaluatethecausaleffectofatreatmentorexposureonanoutcometoavoidthephenomenaofYule-Simpsonparadox.Surrogatesandintermediatevariablesareoftenusedtoreducemeasurementcostsordurationwhenmeasurementofendpointvariablesisexpensive,inconvenient,infeasibleorunobservableinpractice.Therehavebeenmanycriteriaforsurrogates.However,itispossiblethatforasurrogatesatisfyingthesecriteria,atreatmenthasapositiveeffectonthesurrogate,whichinturnhasapositiveeffectontheoutcome,butthetreatmenthasanegativeeffectontheoutcome,whichiscalledthesurrogateparadox.Weshalldiscusscriteriaforsurrogatestoavoidthephenomenaofthesurrogateparadox.Causalnetworkswhichdescribethecausalrelationshipsamongalargenumberofvariableshavebeenappliedtomanyresearchfields.Itisimportanttodiscoverstructuresofcausalnetworksfromobserveddata.Weproposearecursiveapproachfordiscoveringacausalnetworkinwhichastructurallearningofalargenetworkisdecomposedrecursivelyintolearningofsmallnetworks.Furthertodiscovercausalrelationships,wepresentanactivelearningapproachintermsofexternalinterventionsonsomevariables.Whenwefocusonthecausesofaninterestoutcome,insteadofdiscoveringawholenetwork,weproposealocallearningapproachtodiscoverthesecausesthataffecttheoutcome.

简介：统计生态学与分析技术和方法的前进很快发展。这份报纸在后面的方面在中国关于统计生态学做了评论：数据收集，空间并且时间模式分析，种类丰富和种类区域关系，人口动态，种类亲密关系，社区类似和社区簇分析，和社区分类。

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简介：@ChristianNocke

简介：作者从Riemannian几何学扩大统计结构的观点到赋予以一个非线性的连接和一个概括度量标准的路径空格的一般框架。统计数据的二个特别盒子被定义。相应于这些班的一个非线性的连接的存在和唯一被证明。二Koszul张肌根据Riemannian途径被介绍。作为应用程序，作者对待Finslerian(，)当支持Riemannian度量标准是一个统计模型的Fisher-Rao度量标准时，度量标准和Beil度量标准在相关性和域理论使用了。

简介：与从在1970和2001之间的热带气旋年鉴的数据，统计分析被执行学习气候的特征乍见陆地TC(作为TCshereafter注意了)在有详细规格的中国，注意集中于乍见陆地频率，地点，支撑，腐烂，转变，增强和驱散等等。结果显示在土地上的TC的支撑的时期是相当不同的为不同乍见陆地看到，并且从Guangxito浙江增加了。TC紧张的最明显的减少主要在12个小时以内发生在以后乍见陆地。TC越强壮，它越腐烂。TC是的在上区域驱散罐头嬉痞的集会Heilongjiang，极北，并且云南，最西。而且，Guangxi是有高作为与另外的沿海的区域相比驱散率和题目到TC驱散的一个区域。

简介：ymboliccircuitsimulatoristraditionallyappliedtothesmall-signalanalysisofanalogcircuits.Thispaperestablishesasymbolicbehavioralmacromodelingmethodapplicabletobothsmall-signalandlarge-signalanalysisofgeneraltwo-stageoperationalamplifiers(op-amps).Theproposedmethodcreatesatwo-poleparametricmacromodelwhoseparametersareanalyticalfunctionsofthecircuitelementparametersgeneratedbyasymboliccircuitsimulator.Amomentmatchingtechniqueisusedinderivingtheanalyticalmodelparameter.Thecreatedparametricbehavioralmodelcanbeusedforop-ampsperformancesimulationinbothfrequencyandtimedomains.Inparticular,theparametricmodelsarehighlysuitedforfaststatisticalsimulationofop-ampsinthetime-domain.Experimentresultsshowthatthestatisticaldistributionsoftheop-ampslewandsettlingtimecharacterizedbytheproposedmodelagreewellwiththetransistor-levelresultsinadditiontoachievingsignificantspeedup.

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简介：ＳｔａｔｉｓｔｉｃａｌＭｅｃｈａｎｉｃｓＭｏｄｅｌｏｆＬｉｑｕｉｄＢｉｎａｒｙＡｉｌｏｙＦａｎＣｈｅｎｇｃａｉ，ＷａｎｇＪｉａｎａｎｄＬｉＷｅｎｃｈａｏ（樊成才）（王俭）（ＵｎｉｖｅｒｓｉｔｙｏｆＳｃｉｅｎｃｅａｎｄＴｅｃｈｎｏｌｏｇｙＢｅｉｊｉｎｇ...

简介：Basedonstatisticsprinciple,randomerrorandsystematicerrorwereconsideredandthevolumetricpropertiesofthetwomixturestypes,namelyAandB,werestatisticallyanalyzedusingdifferentdistributionmethods.Seventy-twosamplesofmixtureAandfifty-twoofmixtureBwerefabricatedusingtheMarshallmethod.Theprobabilitydistributionswerecomparedonthebasisofgoodnessoffit.Weibullmodelwasfoundtobemostappropriatemodelfordescribingtheasphaltmixturesvolumetricpropertiesdistribution.Thetwo-parameterWeibulldistributionfunctionappliedwelltomodelthebulkspecificgravityandvoidsfilledwithasphaltdata,whereas,thethree-parameterWeibulldistributionappearedtobemoreappropriateinthediscussingofairvoidsandvoidsinmineralaggregate.Theexperimetalresultsisrevealedthatcomparedwiththemeanvalue,thepeakvalueofWeibulldistributionwassuggestedasanalternativeandmorepowerfulparameterfordescribingthetestdatadistributioncharacteristic.Theanalysisoftestresultsalsorevealedthatthereweresignificantdifferencesinthevolumetricpropertiesofthetwotestedmixturesforthesameconfidencelevel.Theconfidenceintervaldecreasedwiththedecreasinginreliability.

简介：RegistrationStatusofEnterprisesEnterprisesareclassifiedinto3categories,namelydomestic-fundedenterprises,enterpriseswithinvestmentfromHongKong,MacauandTaiwan,andenterpriseswithforeigninvestment,inthelightoftheregistrationstatusofanenterpriseinindustrialandcommercialadministrationagencies.Domestic-fundedenterprises

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简介：Severalcriteriausedbyphysicisttoquantifytheratioofsignaltobackgroundarecompared.Theapproachfortakingintoaccounttheuncertaintyinestimationsofsignalandbackgroundisproposed.

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