简介:Wecompare13differentaposteriorierrorestimatorsforthePoissonproblemwithlowest-orderfiniteelementdiscretization.Residual-basederrorestimatorscompetewithawiderangeofaveragingestimatorsandestimatorsbasedonlocalproblems.Amongourfivebenchmarkproblemswealsolookontwoexampleswithdiscontinuousisotropicdiffusionandtheirimpactontheperformanceoftheestimators.(SupportedbyDFGResearchCenterMATHEON.)
简介:OneoftheprincipaldisadvantagesofOrthogonalFrequencyDivisionMultiplexing(OFDM)isverysensitivetocarrierfrequencyoffset.Theintegerfrequencyoffsethasnoeffectontheorthogonalityamongthesubcarriers,butitcausesacircularshiftandphaserotationofthereceiveddatasymbolssequence,resultinginaBitErrorRate(BER)of0.5.Inthispaper,anovelintegerfrequencyoffsetestimatorforOFDMisderivedbasedonmaximumlikelihoodestimationtechniqueandexplorationofthedifferentialrelationbetweentwoconsecutiveOFDMdatasymbolsequencesinfrequencydomain.ItsperformanceiscomparedwiththeconventionalmethodbycomputersimulationsfortheadditivewhiteGaussiannoisechannelandamultipathfadingchannel.Simulationresultsshowthattheperformanceoftheproposedestimatorisbetterthantheconventionalestimator.
简介:这份报纸涉及在啤酒杯杯损失下面改进协变性矩阵的评估者的问题。由协变性矩阵的部分Iwasawa坐标,相应风险能被分成三部分。一个人能在加权的二次的损失的加权的矩阵使用信息改进风险的一部分。然而,这份报纸间接地在样品平均数利用信息,复用Iwasawa协调改进风险的其余部分。是值得提及上面的过程能被重复。最后,蒙特卡罗模拟研究被执行验证理论结果。
简介:Inthisarticle,weconsideraclassofkernelquantileestimatorswhichisthelinearcombinationoforderstatistics.Thisclassofkernelquantileestimatorscanberegardedasanextensionofsomeexistingestimators.Theexactmeansquareerrorexpressionforthisclassofestimatorswillbeprovidedwhendataareuniformlydistributed.Theimplementationoftheseestimatorsdependsmostlyonthebandwidthselection.Wethendevelopanadaptivemethodforbandwidthselectionbasedontheintersectionconfidenceintervals(ICI)principle.MonteCarlostudiesdemonstratethatourproposedapproachiscomparativelyremarkable.Weillustrateourmethodwitharealdataset.
简介:AbstractIntheparametertrackingoftime-varyingsystems,theordinarymethodisweightedleastsquareswiththerectangularwindowortheexponentialwindow.Inthispaperweproposeanewkindofslidingwindowcalledthemultipleexponentialwindow,andthenuseittofittime-varyingGaussianvectorautoregressivemodels.Theasymptoticbiasandcovarianceoftheestimatoroftheparameterfortime-invariantmodelsarealsoderived.Simulationresultsshowthatthemultipleexponentialwindowshavebetterparametertrackingeffectthanrectangularwindowsandexponentialones.
简介:1.IntroductionTheestimationofpopulationquaillesisofgrestillterestwhenone.isnotpreparedtoassumeaparametricformfortheunderlyingdistribution.Inaddition,quaillesoftenariseasthensturalthingtoestimatewhentheunderlyingdistributionisskewed.LetXIIXZ,’’’)Xubei...
简介:LetX,i.i.d.andY1i.i.d.betwosequencesofrandomvariableswithunknowndistributionfunctionsF(x)andG(y)respectively.X,arecensoredbyY1.InthispaperwestudytheuniformconsistencyoftheKaplan-Meierestimatorunderthecaseey=sup(t:F(t)<1)>to=sup(t2G(t)<1)Thesufficientconditionisdiscussed.
简介:Inthispaper,wediscusstheasymptoticnormalityofthewaveletestimatorofthedensityfunctionbasedoncensoreddata,whenthesurvivalandthecensoringtimesformastationaryα-mixingsequence.Tosimulatethedistributionofestimatorsuchthatitiseasytoperformstatisticalinferenceforthedensityfunction,arandomweightedestimatorofthedensityfunctionisalsoconstructedandinvestigated.Finitesamplebehavioroftheestimatorisinvestigatedviasimulationstoo.更多还原
简介:<正>Inthispaper,aclassoffunctionalsofKaplan-Meierestimatorisinvestigated.Countingprocessmartingalemethodsareusedtoshowtheasymptoticnormality,andweestablishameansquareerrorinequalityandaprobabilityinequalityofthemwithouttheassumptionthatF,Garecontinuous,whereF,Garesurvivaltimedistributionandcensoringtimedistributionrespectively.
简介:在一个现代电的驱动程序,转子地面向的控制(RFOC)方法被用来完成好表演和适当短暂回答。在这个方法,转子流动的空间向量来由转子抵抗价值方便。转子抵抗是根据马达速度和房间温度改变变化的重要参数之一。在这份报纸,一个新联机评价方法被利用由使用沃尔什功能领域获得转子抵抗。沃尔什功能是在piecewise常数基础功能(PCBF)的最适用的功能之一解决动态方程。在另一方面,一个不可分的运作的矩阵被用来简化计算算法的过程和速度。模拟结果证明建议方法能够在要用体力地与注射噪音在对比估计转子抵抗的时间间隔上在一台电的机器解决动态方程。