简介：在实际调查采样，nonresponse现象是不可避免的。怎么把归咎于错过数据是一个重要问题。在文学有几个归罪方法。在这份报纸，当PPSWR采样被使用时，为在一致反应下面的失踪的数据的比率的平均数的归罪方法被用于一个有限人口平均数的评价。把归咎于的评估者不管反应机制不管模型以及在比率模型下面在相应反应机制下面是有效的。近似不偏的大折刀变化评估者也被介绍。所有这些结果被扩大到不一致的反应的盒子。模拟研究显示出建议评估者的好表演。关键词归罪-条款nonresponse-大折刀变化评估者-不一致的反应-PPSWR采样先生(2000)题目分类62D05由中国的国家自然科学基础支持了(资助Nos.70625004，10721101和70933003)

简介：Onthebasisoftheprinciplesofsimplerandomsampling,thestatisticalmodelofrateofdisfigurement(RD)isputforwardanddescribedindetail.AccordingtothedefinitionofsimplerandomsamplingfortheattributedatainGIS,themeanandvarianceoftheRDarededucedasthecharacteristicvalueofthestatisticalmodelinordertoexplainthefeasibilityoftheaccuracymeasurementoftheattributedatainGISbyusingtheRD.Moreover,onthebasisofthemeanandvarianceoftheRD,thequalityassessmentmethodforattributedataofvectormapsduringthedatacollectingisdiscussed.TheRDspreadgraphisalsodrawntoseewhetherthequalityoftheattributedataisundercontrol.TheRDmodelcansyntheticallyjudgethequalityofattributedata,whichisdifferentfromothermeasurementcoefficientsthatonlydiscussaccuracyofclassification.

简介：Anobjectivetechniqueoftropicalcyclone(TC)movingdirectionpredictionovertheNorthwesternPacificOceanduring2001-2002isstudiedusingGMS-5Outing-LongwaveRadiation(OLR)data.ThreeformulaeusedtopredictTCmovingdirectionin6,12and24h,respectively,havebeenobtainedbasedonamultiplelinearregressionframeworkandsomeregressionfactorsincludingseveralkindsofOLRcharacteristicvaluesandtheminimumsealevelpressureoftropicalcyclonecenter.ThemultiplecorrelationcoefficientsofthestatisticalanalysisusingtheinformationofTCsintheYearbookonTropicalCyclonestovalidatethesatellite-basedpredictionare0.954,0.945and0.914respectively.TheresultsaresatisfyingthroughcheckingoneoftheTCsin2001.ThetechniquescouldbeappliedinfutureoperationandwouldcontributetoTCmovementprediction,especiallytoasuddenchangeinTCmovingdirectionandimprovingtheforecastingandwiningcapability.

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简介：为有未知结构的非线性的系统的一个系统鉴定方法用短输入产量数据被介绍。方法简化原来的NARMAX方法。它为非线性的系统介绍更一般的模型结构。方法被采用获得模型术语的数据处理的组方法(GMDH)；参数。建议方法的有效性被一个典型非线性的系统与未知结构说明；缺乏的输入产量数据。

简介：Inthisstudy,wepresentapreprocessingmethodforquadrupoletime-of-flight(Q-TOF)tandemmassspectratoincreasetheaccuracyofdatabasesearchingforpeptide(protein)identification.Basedonthenaturalisotopicinformationinherentintandemmassspectra,weconstructadecisiontreeafterfeatureselectiontoclassifythenoiseandionpeaksintandemspectra.Furthermore,werecognizeoverlappingpeakstofindthemonoisotopicmassesofionsforthefollowingidentificationprocess.Theexperimentalresultsshowthatthispreprocessingmethodincreasesthesearchspeedandthereliabilityofpeptideidentification.

简介：1.IntroductionTheestimationofpopulationquaillesisofgrestillterestwhenone.isnotpreparedtoassumeaparametricformfortheunderlyingdistribution.Inaddition,quaillesoftenariseasthensturalthingtoestimatewhentheunderlyingdistributionisskewed.LetXIIXZ,’’’)Xubei...

简介：<正>Inthispaper,anexistenceresultofentropysolutionstosomeparabolicproblemsisestablished.ThedatabelongstoL~1andnogrowthassumptionismadeonthelower-ordertermindivergenceform.

简介：EncryptedCommunicationtechniqueisanimportantmeasuretotheinformationsafety.BasedontheadvantagesoftwopublicencryptionalgorithmRSA&DES,anovelhighintensitypublicencryptionalgorithmChaosRandomHighIntensity(CHR)isproposedinthispaper.TheprincipleofCRHisdescribedandanalyzedindetail,andtheresultsofcomputersimulationhasproveditseffectivenessandcorrectness.

简介：Efficientdatavisualizationtechniquesarecriticalformanyscientificapplications.CentroidalVoronoitessellation(CVT)basedalgorithmsofferaconvenientvehicleforperformingimageanalysis,segmentationandcompressionwhileallowingtooptimizeretainedimagequalitywithrespecttoagivenmetric.InexperimentalsciencewithdatacountsfollowingPoissondistributions,severalCVT-baseddatatessellationalgorithmshavebeenrecentlydeveloped.Althoughtheysurpasstheirpredecessorsinrobustnessandqualityofreconstructeddata,timeconsumptionremainstobeanissueduetoheavyutilizationoftheslowlyconvergingLloyditeration.Thispaperdiscussesonepossibleapproachtoacceleratingdatavisualizationalgorithms.ItreliesonamultidimensionalgeneralizationoftheoptimizationbasedmultilevelalgorithmforthenumericalcomputationoftheCVTsintroducedin[1],wherearigorousproofofitsuniformconvergencehasbeenpresentedin1-dimensionalsetting.Themultidimensionalimplementationemploysbarycentriccoordinatebasedinterpolationandmaximalindependentsetcoarseningprocedures.Itisshownthatwhencoupledwithbinaccretionalgorithmaccountingforthediscretenatureofthedata,thealgorithmoutperformsLloyd-basedschemesandpreservesuniformconvergencewithrespecttotheproblemsize.Althoughnumericaldemonstrationsprovidedarelimitedtospectroscopydataanalysis,themethodhasacontext-independentsetupandcanpotentiallydeliversignificantspeeduptootherscientificandengineeringapplications.

简介：Thispaperdescribesanimmersivesystem,called3DIVE,forinteractivevolumedatavisualizationandexplorationinsidetheCAVEvirtualenvironment.Combininginteractivevolumerenderingandvirtualrealityprovidesanaturalimmersiveenvironmentforvolumetricdatavisualization.Moreadvanceddataexplorationoperations,suchasobjectleveldatamanipulation,simulationandanalysis,aresupportedin3DIVEbyseveralnewtechniques.Inparticular,volumeprimitivesandtextureregionsareusedfortherendering,manipulation,andcollisiondetectionofvolumetricobjects;andtheregion-basedrenderingpipelineisintegratedwith3Dimagefilterstoprovideanimage-basedmechanismforinteractivetransferfunctiondesign.ThesystemhasbeenrecentlyreleasedaspublicdomainsoftwareforCAVE/ImmersaDeskusers,andiscurrentlybeingactivelyusedbyvariousscientificandbiomedicalvisualizationprojects.

简介：Tomeettherequirementoflong-timeacquisitionwithoutinterruptionsfortheplannednucleardecayexperimentsatCSRe,anewdataacquisitionsystemhasbeensuccessfullydevelopedin2016.DuringthebeamtimeinDec.2016,ournewsystemhasbeenrunningstablywithoutanyproblemsandcontinuouslyacquiringhundredsofdatawithoutanybreaks.Thewholesystemisbasedonaspectrumanalyzer(R&SFSVR7)andanIQrecorder(R&SIQR100).BothofthemareconnectedtoaserverviaEthernet.Thespectrumanalyzeracquiresthetime-domaininformationinthefrequencyrangeofinterestfromtheSchottkyresonator.TheIQrecordercollectstheinformationfromtheanalyzerandpacksitintodata.Oncethedatahavebeenentirelytransferredtotheserver,itwillimmediatelyberemovedfromIQrecorder.Thehigh-volumesolid-statedrive(1TB)ofIQrecorderallowsforavirtuallyunlimitedsizeofacquiredlestobestoredinpractice.Besides,inordertobypasstheunreliabletriggersystemofIQrecorder,webuiltanindependenttriggersystemwithamicrocontroller(ArduinoYun)totranslatetheTTLsignaltonetworkcommands.

简介：ThispaperfocusesonthestudyofoceanbathymetricinversionfromsatellitealtimeterdatabyusingFFTtechnique.Inthisstudy,thefree-airgravityanomaliesovertheSouthChinaSeaaredeterminedbythesatellitealtimeterdataofGEOSAT,ERS-1,ERS-2andT/P.Andthe2.5′×2.5′bathymetrymodelinSouthChinaSeaiscalculatedfromthegravityanomalieswiththeinversionmodelgiven.Aftertheanalysisoftheinversionandthecomparisonbetweentheresults,someconclusionscanbedrawn.

简介：Anewforwardscatteringbistaticradarmotioncompensationmethodbasedonspectralanalysisandminimumwaveformentropyisproposed.Inordertodemonstrateeffectivenessofthepresentedmethodandgroundvehiclesimagingfunctionofforwardscatteringradar,asimplebistaticforwardscatteringradarexperimentsystemissetuponbothsidesofaroadtocollectiongroundvehiclesexperimentaldata.Finally,experimentalgroundvehiclesimagingresultsconfirmvalidityoftheproposedmotioncompensationmethodandtheexperimentalimagingresultsareidenticalwithcomputersimulationresultsinthesameparameterandcondition.

简介：Appliedstatisticiansareoftenconfrontedwithstatisticalinferenceproblemsdealingwithsituationsinwhichthereappeartobenodata,ordataofonlylimitedusefulness.Forexample,whenattemptingtofindaconfidenceintervalforabinomialproportion,thesamplemaycontainnosuccesses.Suchascenariocouldbeencounteredwhenattemptingtoestimatetheincidenceofanextremelyraresideeffectassociatedwiththeadministrationofanewlydevelopeddrug.Inthisarticle,weuseexamplesforourexperiencesworkingwithscientificinvestigatorsanddescribeseveralscenariosinwhichthereappearedtobenousefuldata,ordataofonlylimitedusefulness.Wedescribethemethodswepreferforanalyzingthedatainthesesituationsandillustratetheirapplicationusingtheactualdatafromtheinvestigationsweparticipatedin.

简介：我们从基因表示数据为肿瘤分类建议一个新方法，它主要包含三步。第一，原来的DNAmicroarray基因表达式数据被独立部件分析(集成通信适配器)建模。第二，集成通信适配器提取的大多数判别式eigenassays被顺序的漂浮的前面的选择技术选择。最后，支持向量机器被用来分类当模特儿的数据。显示出建议方法的有效性，我们使用了它分类包含各种各样的人的正常和肿瘤织物样品的三DNAmicroarray数据集。试验性的结果证明方法有效、可行。

简介：Withaself-madenear-infraredanalyticalinstrumenttobloodandoxygenparametersinhumanbrain,80casesinwhich20arehealthypersonsand30areanaesthetisedcasesandothersarepatientswithheartfunctionlackistakentoexamine,andthedataofbloodandoxygeninbraintissuewerecollectedandanalyzedbythemethodofpowerspectrumandcorrelationfunction.Theresultsindicatethat:(1)Theaveragebrainoxygensaturationofhealthypersonsandanaesthetisedcasesisabout80%,inaccordwithnormalparameterofphysiology.Contrastively,theaveragebrainoxygensaturationofpatientswithheartfunctionlackis72.8%,whichisobviouslylessthanthatofhealthypersonsandanaesthetisedcases.Theprobabilityofmedicalstatisticsislessthan0.01.(2)Theshapesofwaveofbrainbloodandoxygenforthehealthypersonandtheanaesthetisedcaserevealsmallperiodicalfluctuationswithstableshapeandbaseline,andthetrendofincreaseordecreaseofbloodandoxygenparametersinbraintissueissynchronousandaphasereversal,butforthepatientwithheartfunctionlackinabrainoxygenlackstate,theshapesofwaveareirregular.Thisisahintthatnearinfraredlightpassingthroughtissuecanreflecttheintuitionisticchangeofbrainbloodandoxygenparameters.(3)Thepowerspectraofbrainbloodandoxygenforthehealthypersonandtheanaesthetisedcasehasaclearmainpeak,narrowbandwidthandperfectsuperpositioneachother,butthepowerspectraforthepatientwithheartfunctionlackinabrainoxygenlackstateisonthecontrary.(4)Theaveragecrosscorrelationcoefficientofbrainbloodandoxygenforhealthypersonsandanaesthetisedcasesis-0.9825±0.1027closeto-1.Buttheaveragecrosscorrelationcoefficientforpatientswithheartfunctionlackinabrainoxygenlackstateismerely-0.8923±0.1035whichisobviouslygreaterthan-1andtheprobabilityofmedicalstatisticsislessthan0.01.Theclinicexperimentshaveprovedthattheshapes

简介：技术显著地改进了定序产量并且减少的下一代的定序的出现(NGS)花费。然而，短读的长度，副本读并且数据的巨大的体积使处理的数据比归化为美国人的定序技术更困难、复杂。尽管有包裹开发了估计数据质量的某软件，那些包裹任何一个不对用户容易可得到或要求生物信息学技巧和计算机资源。而且，当前可得到的几乎所有优秀评价软件当在NGS数据处理副本评价时，考虑定序的错误。这里，我们在场一个新用户友好的优秀评价软件包裹叫了BIGpre，它为Illumina和454个平台工作。BIGpre包含另外的优秀评价软件的所有函数，例如关联在之间前面、反向读，读GC内容分发，和基础N质量。更重要地，BIGpre合并联系程序检测并且搬迁副本在订定序错误进报道并且整修低质量以后读也从未加工的数据读。BIGpre首先在Perl被写并且从统计包裹R集成图形的能力。这个包裹为从Illumina和454个平台定序数据集生产数据质量的平坦、图形的摘要。处理几百百万在分钟以内读，这个包裹提供立即的诊断信息让用户操作为下游的分析定序数据。BIGpre在http://bigpre.sourceforge.net是自由地可得到的。

简介：Inthispaper,theauthorsputforwardabriefandpracticalarithmeticforautoextractingterrainlinesfromdigitalterraindataafteranalyzingandcomparingcurrentarithmetics.Thispapergivesanexperimentresultthattheridgeandvalleyextractedbythearithmeticisconsistentwiththeexperimentalterrain.

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