简介：Inthispaper,weproposeadimension-reducing,K-meanclusteringprocedurebyProjectionPursuit(PP)techniquesoastoexploretheclusteringstructureofdatainhigh-dimensionalspaceintermsoflow-dimensionalprojectivepointsofdata,andweobtainthea.s.consistenceoftheestimatesoftheclustercentersandprojectionorientations.

简介：摘要本文以广西桂林市漓江景区和阳朔西街景区附近403家酒店作为研究对象，运用K-Mean聚类分析，分别从酒店的用户体验、服务环境、酒店价格和酒店规模四个总体指标对酒店的类型进行综合评价。研究发现，分类状况和美团网上酒店标记类型基本一致，表明广西桂林市漓江和阳朔西街景区的酒店整体运营与服务环境以及用户体验大体上使人满意，以及应用K-Maens聚类分析对酒店的综合评价具有可行性。

简介：针对高水平龙舟队的训练特点,以广西民族大学高水平女子龙舟队为研究对象,测试获得其各队员的八项专项身体素质成绩。通过SPSS进行描述性统计,了解其整体基本情况。运用K-Mean聚类分析法,分析高水平女子龙舟队队员专项素质水平结构,对龙舟队队员不同桨位的特点进行了探讨。根据高水平女子龙舟队队员专项素质水平结构的特点,对队员的桨位安排作出了合理的解释。

简介：你也许知道mean的中文意思是“意思”，但这只是其一，mean这个词还有很多意思呢，想知道吗？请往下看!

简介：

简介：

简介：我们使用二个多项式到结果讨论一致的根，然后我们在情况r=在特性和的吝啬的价值上改进伯吉斯的结果3。最后，我们在情况r=为特性和的吝啬的价值给新估计4。关键词结果-多项式-特性先生(2000)题目分类11L40

简介：作者考虑光滑的沉浸F的一个家庭(趇??鮼触鞭裦螥觧1吗？？

简介：ＭＥＡＮＶＡＬＵＥＯＦＡＮＡＬＹＴＩＣＯＰＥＲＡＴＯＲＦＵＮＣＴＩＯＮＳＹｕＸｉａｏｐｅｉ（喻小培）（Ｄｅｐｔ．ｏｆＭａｔｈ．，ＣｅｎｔｒａｌＣｈｉｎａＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，Ｗｕｈａｎ４３００７０，Ｃｈｉｎａ）ＪｉａｎＭｉｎｇ（蹇明）（Ｄ...

简介：在这篇论文，我们为多项式建立L~q不平等，它特别地产出一些Zygmund类型不平等的有趣的归纳。

简介：

简介：Inordertogiveacompleteandaccuratedescriptionaboutthesensitivityofefficientportfoliostochangesinassets'expectedreturns,variancesandcovariances,thejointeffectofestimationerrorsinmeans,variancesandcovariancesontheefficientportfolio'sweightsisinvestigatedinthispaper.Itisprovedthattheefficientportfolio'scompositionisaLipschitzcontinuous,differentiablemappingoftheseparametersundersuitableconditions.Thechangerateoftheefficientportfolio'sweightswithrespecttovariationsaboutriskreturnestimationsisderivedbyestimatingtheLipschitzconstant.Ourgeneralquantitativeresultsshowthattheefficientportfolio''sweightsarenormallynotsosensitivetoestimationerrorsaboutmeansandvariances.Moreover,wepointoutthoseextremecaseswhichmightcausestabilityproblemsandhowtoavoidtheminpractice.Preliminarynumericalresultsarealsoprovidedasanillustrationtoourtheoreticalresults.

简介：在这篇论文，我们在联合起来的磁盘D上学习Hakopian插值的加权的吝啬的不可分的集中。我们出现在Hakopian插值多项式Hn之间的内部产品(f；x，y)；光滑的功能g(x，y)在D上收敛到f的(x，y)；g(x，y)在D上什么时候n→8f(x，y)属于C(D)；g的所有第一部分衍生物(x，y)属于空间嘴唇M[α](0<α≤1)。我们进一步证明那提供了g的所有秒部分的衍生物(x，y)也属于空间嘴唇M[α]；f(x，y)属于C[1](D)，在Hakopian插值的部分衍生物之间的内部产品多项式；g(x，y)在D上收敛到那在之间；g(x，y)在D上什么时候n→∞。

简介：Somediseasesotherthancardiacdiseasecanbe“prevented”,butthepurposeofthiscommunicationwrittenbyaclinicalcardiologist,notasapreventionspecialist,istofocusstrictlyoncardiovasculardisease.Thedefinitionofpreventivemedicineinsimplesttermsmeanskeepingyourpatienthealthy.Inadditiontomaintaininghealth,ofcourse,wewanttopreventthedisabilityassociatedwithcardiacdiseaseaswellasdeathintheyoungerperson.

简介：

简介：TheDeGrootmodelisoneofthemostclassicalmodelsinthefieldofopiniondynamics.ThestandardDeGrootmodelassumesthatagentsarehomogeneousandupdatetheiropinionsinthedirectionofaweightedaverageoftheirneighbors'opinions.Onenaturalquestioniswhetherasecondtypeofagentscouldsignificantlychangethemainpropertiesofthemodel.Theauthorsaddressthisquestionbyintroducingrebels,whoupdatetheiropinionstowardtheoppositeoftheirneighbors'weightedaverage.Theauthorsfindthattheexistenceofrebelsremarkablyaffectstheopiniondynamics.Undercertainmildconditions,theexistenceofafewrebelswillleadthegroupopiniontothegoldenmean,regardlessoftheinitialopinionsoftheagentsandthestructureofthelearningnetwork.ThisresultiscompletelydifferentfromthatofthestandardDeGrootmodel,wherethefinalconsensusopinionisdeterminedbyboththeinitialopinionsandthelearningtopology.Thestudythenprovidesnewinsightsintounderstandinghowheterogeneousindividualsinagroupreachconsensusandwhythegoldenmeanissocommoninhumansociety.

简介：Theweightedarithmeticalmeancomplexjudgementmatrix(WAMCJM)isthemostcommonmethodforaggregatinggroupopinions,butithasashortcoming,namelytheWAMCJMoftheperfectlyconsistentjudgementmatricesgivenbyexpertscanotguaranteeitsperfectconsistency.AnupperboundoftheWAMCJM'sconsistencyispresented.Simultaneously,acompatibilityindexofjudgingtheaggregatingextentofgroupopinionsisalsointroduced.TheWAMCJMisofacceptableconsistencyandisprovedprovidedthecompatibilitiesofalljudgementmatricesgivenbyexpertsaresmallerthanthethresholdvalueofacceptableconsistency.Theseconclusionsareimportanttogroupdecisionmaking.

简介：Inthispaper,westudytheasymptoticCUSUMtestsfordetectingchangesinthemeanorvarianceofamoving-averageprocesswithlongmemory.Whenthereisnochangeover[O,T],theasymptoticdistributionoftheteststatisticisderived,whichallowsustofindasymptoticcriticalvalues.Whenthereisachange,thebehavioroftheteststatisticisdiscussed.Conditionsfortheconsistencyofthesetestsarealsodiscussed.Basedontheasymptoticresults,simulationstudiesoftestingforchangesinthemeanshowthattheCUSUMtestproposedperformswell.

简介：

简介：