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Rosenblatt估计与最近邻估计的模拟比较

Simulation study on consistency of Rosenblatt and Nearest neighbors estimate
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摘要 依据大样本性质,用Monte Carlo方法对特定模型的Rosenblatt估计与最近邻估计进行模拟试验,讨论了在长度有限的样本情况下有关窗宽的选择问题,比较了两种估计的拟合程度及相合速度. Rosenblatt and Nearest neighbors estimate is the nonparametric estimation of the probability density function. The main work of this article is simulation study on the basis of large sample properties for the estimate by Monte Carlo method with some models. We studied the problem of the choice about window width, consistent rate and some doubtful points about consistent rate with fixed sample size.
作者 姜珠华
出处 《延边大学学报(自然科学版)》 CAS 2005年第4期253-256,共4页 Journal of Yanbian University(Natural Science Edition)
关键词 Rosenblatt估计 最近邻估计 相合速度 窗宽 模拟试验 Rosenblatt estimate Nearest neighbors estimate consistent rate window width simulation
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参考文献4

  • 1[1]Rosenblatt M. Remarks on some nonparametric estimates of a density function[J]. Ann Math Statist, 1956,27:832-837.
  • 2[2]Loftsgarden D O, Quesenberry C D. A nonparametric estimate of a multivariate density function[J]. Ann Statist, 1965,36:1049-1051.
  • 3陈希孺.最近邻密度估计的收敛速度[J].中国科学,1981,(12):1419-1428.
  • 4杨善朝.独立样本最近邻密度估计的强相合速度[J].应用概率统计,2002,18(4):405-408. 被引量:6

二级参考文献7

  • 1陈希孺.最近邻密度估计的收敛速度[J].中国科学,1981,(12):1419-1428.
  • 2Loftsgarden, D.O., Quesenberry, C.D., A nonparametric estimate of a multivariate density function, Ann. Statist.,36(1965), 1049-1051.
  • 3Wagner, T.J., Strong consistency of a nonparametric estimate of a density function, IEEE Trans. Systems Man Cybernet, 3(1973), 289-290.
  • 4Moore, D.S., Yackel, J.W., Large sample properties of nearest neighbor density function estimators, Statistical Decision Theory and Related Topics, Academic Press, New York, 1977.
  • 5Moore. D.S., Henrichon, E.G., Uniform consistency of some estimates of a density function, Ann. Math. Statist.,40(1969), 1499-1502.
  • 6Devroye, L.P., Wagner, T.J., The strong uniform consistency of nearest neighbor density estimates, Ann. Statist.,5(1977), 536-540.
  • 7陈希孺.最近邻密度估计的一致收敛速度(英文)[J].数学研究与评论,(1):61-68.

共引文献11

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