期刊文献+

对一组种子数据的统计分析

Statistical Analysis of Seed Data
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摘要 Crowder曾经研究过一组种子数据,这组数据所对应的模型为二项线性混合效应模型.本文运用EM算法对模型进行参数估计,并利用“点删除”方法探测到了数据中的强影响点. Crowder has studied a group of seed data. The corresponding model of the data is binomial linear mixed model. In this paper, EM algorithm is used to estimate the parameters of the model; furthermore, casedeletion method is used to detect the influential subject of the data.
出处 《山西师范大学学报(自然科学版)》 2007年第2期1-5,共5页 Journal of Shanxi Normal University(Natural Science Edition)
基金 国家自然科学基金(天元基金)(A0324637) 云南省教育厅科研基金(5Y0094A)
关键词 随机效应 EM算法 MARKOV CHAIN MONTE Carlo(MCMC)方法 广义COOK距离 random effects EM algorithm Markov Chain Monte Carlo (MCMC) algorithm generalized Cook distance
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参考文献5

  • 1Crowder M J.Beta-Binomial ANOVA for proportions[J].Applied statistics,1978,27:34-37.
  • 2Breslow N.E.and Clayton D G.Approximate inference in generalized linear mixed models[J].Journal of the American Statistical Association.1993,88:9-25.
  • 3Gelman A,Roberts G O,Gilks W R.Efficient Metropolis jumping rules[M].Bayesian Statistics 5,Oxford:Oxford University Press,1995,599-607.
  • 4Wu,C F J.On the convergence properties of the EM algorithm[J].Ann.Statist.1983,11,95-103.
  • 5Zhu H T,Lee S Y,Wei B CH,et al.Case-deletion measures for models with incomplete data.Biometrika,2001,88(3):727-737.

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