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简介：Thestatisticaldistributionofwavecrestcharacteristicssuchascrestlength,crestheight,jointcrestheightandlengthareanalyzedbasedonnumericalsimulationof3-Drandomwaves.Theeffectsofdirectionalfunctionsandwavecrestdefiningmethodsoncrestcharacteristicsarealsostudied.Theresultsshowthatwavecrestsarenolongeruniformandcontinuousindirectionalwavefield;thedistributionofcrestlengthisobviouslyinfluencedbythedirectionalfunction;thestatisticsofcrestcharacteristicsobtainedbythetwodifferentmethodsarealmostthesame.

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简介：Inthispaper,theauthorsgivesomeapplicationsofF-uniformlydistributedsequences,whicharesuggestedintheirpreviouspaperunderthesametitle,inexperimen-taldesign,experimentswithmixtures,geometricprobabilityandsimulation.

简介：在分数维的点模式在点过程当模特儿和参数评价的统计方法当模特儿之间的关系被考察。由使用RipleysK功能的簇分数维图形尺寸的统计评价与更通常使用的方法比较有优点数盒子并且因为它为边效果，不是仅仅为矩形的学习区域而且为学习区域改正，弄弯的边界由地区性的地质学决定了，聚类分数维的尺寸评价。申请对点模式的分数维的尺寸有的估计数盒子一般来说，它服从于相对强壮的滚边的劣势为更小的框完成。例如在这份报纸使用的点模式主要为在加拿大的盾上的Abitibi暴烈的带的金存款。另外，这被建议，全球podiformCr的本地点模式，巨大的硫醚和斑岩铜扔的volcanogenic，它不规则地空间地分布式在以内塑造了有利的道，与类似的分数维的尺寸满足分数维的聚类模型。存款尺寸(金属吨位)的问题也被考虑。几个例子Pareto分发在金属尺寸频率分发建模为最大的存款在提供好结果的盒子被提供。

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简介：ＡｃｃｏｒｄｉｎｇｔｏｔｈｅＭｉｎｉｓｔｒｙｏｆＦｏｒｅｉｇｎＴｒａｄｅａｎｄＥｃｏｎｏｍｉｃＣｏｏｐｅｒａｔｉｏｎ，ｔｈｅｒｅｗｅｒｅ５，９８４ｐｒｏｊｅｃｔｓｉｎＣｈｉｎａｉｎｖｏｌｖｉｎｇｔｅｃｈｎｉｃａｌｉｎｔｒｏｄｕｃｔｉｏｎａｎｄｅｑｕｉ...

简介：ｔａｔｉｓｔｉｃｓｏｎＣｈｉｎａ’ｓ１９９６ＳｏｃｉａｌＤｅｖｅｌｏｐｍｅｎｔＡｌａｒｇｅｓｉｚｅｓｅｗａｇｅｄｉｓｐｏｓａｌｐｌａｎｔｉｎＦｕｚｈｏｕＣｉｔｙ，ＦｕｊｉａｎＰｒｏｖｉｎｃｅ．ＥｄｕｃａｔｉｏｎａｌＤｅｖｅｌｏｐｍｅｎｔＣｈｉｎａｈ...

简介：Onthebasisofthehistoricalstatisticsonpowerconsumption,thispaperanalyzesthepowerconsumptiontrendsinChinabymeansofanalyzingmethodsbasedonconsumptionproportioncurve,fixedbasecurve,month-on-monthincreasecurveandfixedbaseindexcurve.Specialattentionsarepaidtotheconsumptiontrendinthefirsthalfof2010,andpolicystrategiesaresuggestedtargetingtheproblemsreflectedbytheconsumptiontrend.

简介：统计方法通常被用来评估自然人口和环境变量，然而，这些必须在在一个演变世界上适当的人口特性认出时间的趋势。这里介绍的新方程定义历史的人口在人口工具和标准差由线性变化影响了的总数的统计措施。这些能被用来提取今日的人口的统计特性，需要定义现代可变性和风险，从历史的数据的表格，那被当条件是不同的时，做的大小统治。作为一个例子，象变化和在里面隧道结构正在引起的气候那样的许多因素充满层次升起，因此未来洪水层次的现实主义的评价必须考虑如此的世俗的变化。新方程在比习惯性地假定人口stationarity的正式计算高是0.5～2m的USA中西部为100年的洪水提供水层次的估计。这些方程也证明洪水层次将继续每年由几厘米升起。这率比海水平的上升快将近十倍，并且因此代表被柔韧的数据记录的变化的最快、很损坏的率之一。

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简介：Withtheincorporationofspatialstatisticmethod,thispaperconstructsastate-spacemodelofhousingmarketbubbles,discussingthespatialpatternofhousingmarketbubblesinChina,andidentifyingthedynamicevolutionprocess.Theresultsshowthat:Thebubblesofhousingmarketwalkedalongapathfromlowleveltohighlevelandthendownsizedtoalowlevelduringtheperiodof2009and2014,andthehighestlevelstayedat2011.Fromoverall,thelevelofhousingmarketbubbleshadshownsignificantspatialautocorrelationandspatialagglomeration.Indetail,thedirectionofNorth-SouthinChinashowedtheinvertedUshape,i.e.,Centralregionwaswithhighbubbles,andtwoendscontainedlowbubbles;fromEast-Westdirection,theEasthadhighbubblesandtheWestcontainedcomparativelylowbubbles.Localspatialtestindicatesthatthereweresomeapproximatespatialfeaturesinhousingmarketbubblesamongtheadjacentregions.Observedfromthelevelofhousingmarketbubbles,Chinacontained3plates:Thefirstwastheplatewithlowbubblelevel,including3provincesinNorth-EastChina(provincesofJilin,HeilongjiangandLiaoningwereincluded,butDalianinLiaoningprovincewasexcluded;thesecondwastheCentralandWestplate(theprovincesofYunnan,Guizhou,Sichuan,Guangdong,Guangxi,Hunan,Hubei,Gansu,Fujian,JiangxiandHainanwereincludedinthisplate),whichwasalsofeaturedwithlowbubble;andthethirdwasCentralEastplate(provincesorprovincialregionsofBeijing,Tianjin,Hebei,Jiangsu,Zhejiang,Shanghai,Shandong,Anhui,Shanxi,ShaanxiandInnerMongoliawereincluded),whichwascharacterizedashighbubbleregion.

简介：ＳｔａｔｉｓｔｉｃｓａｂｏｕｔＢｅｉｊｉｎｇＰｏｐｕｌａｔｉｏｎａｎｄＲｅｌｅｖａｎｔＩｓｕｅｓＰｏｐｕｌａｔｉｏｎＧｒｏｗｔｈｕｎｄｅｒＥｆｅｃｔｉｖｅＣｏｎｔｒｏｌＳｔａｔｉｓｔｉｃｓｆｒｏｍｔｈｅｐｕｂｌｉｃｓｅｃｕｒｉｔｙｂｕｒｅａｕｉｎｄｉ...

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简介：Agoodmodelcanextractusefulinformationaboutthetarget'sstatefromobservationseffectively.Therearemanymodelsusedtotrackinga,maneuveringtargetsuchasconstant-velocity(CV)model,Singeraccelerationmodel(zero-meanfirst-orderMarkovmodel)andcurrentmodel(mean-adaptiveaccelerationmodel),etc.Whileduetothecomplexityofmaneuveringtarget,toseekthetargetmodelwhichcangetbetterperformanceisstillasubjectworthyofstudy.BasedonstatisticsrelationbetweentheautocorrelationfunctionandthecovarianceofMarkovrandomprocessing,thispaperdevelopsamodelwhichcanadaptivelyadjustsystemparametersonline.Simulationsshowthegoodestimationperformancegetbythemodeldevelopedhere,andcomparingCV,Singerandcurrentmodels,themodelcanadaptivelygetthemodelparameterwhiletrackingthetrajectoryandneedn'tdoingseveralteststoobtainaprioriparameter.