简介：Atestforlinearityintimeserieswithβ-ARCHerrorsisproposedinthispaper.Theempiricalpercentagepointsfortsetstatisticarealsogiven.Thesimulatingresultsundernormalandnon-normalerrordistributionsshowthattestsuggestedbyusisverypower

简介：ThepaperpresentsandprovesanapproximateoptimalrelationshipbetweensamplesizenandacceptancenumbercinthesamplingplansunderimperfectinspectionwhichminimizetheBayesianrisk.TheconclusiongeneralizestheresultobtainedbyA.Haldontheassumptionthattheinspectionisperfect.

简介：Thispaperconsiderstheconvergenceratesfornonparametricestimatorsoftheerrordistributioninsemi-parametricregressionmodels.Byestablishingsomegenerallawsoftheiteratedlogarithm,itshowsthattheratesofconvergenceofeithertheempiricaldistributionorasmoothedversionoftheempiricaldistributionfunctionmatchesexactlytheratesobtainedforanindependentsamplefromtheerrordistribution.

简介：这份报纸建议贝叶斯的semiparametric与errors-in-covariates为二倍地审查的数据加速了失败时间模型。作者经由Dirichlet过程为未被遵守的covariates和回归错误的分布建模。而且，作者为可变选择把贝叶斯的套索途径递我们的semiparametric模型。作者为以后的计算开发Markov链蒙特卡罗策略。模拟研究被进行显示出建议方法的表演。作者也用PBC数据和ACTG175数据的分析表明方法的实现。

简介：ConsiderasemiparametricregressionmodelwithlineartimeserieserrorsYk=x'kβ+g(tk)+εk,1≤k≤n,whereYk'sareresponses,xk=(xk1，xk2，…,xkp)'andtk∈T包含Rarefixeddesignpoints,β=(β1,β2,…,βp)'isanunknownparametervector,g(·)isanunknonwnboundedreal-valuedfunctiondefinedonacompactsubsetTofthereallineR,andεkisalinearprocessgivenbyεk=∑j=0^∞ψjek-j,ψ0=1,where∑j=0^∞|ψj|<∞,andej,j=0,±1,±2,…,arei.i.d.randomvariables.Inthispaperweestablishtheasymptoticnormalityoftheleastsquaresestimatorofβ,asmoothestimatorofg(·),andestimatorsoftheautocovarianceandautocorrelationfunctionsofthelinearprocessεk.