期刊文献+

INGARCH模型拟极大似然估计的相合性

Consistency of Quasi-maximum Likelihood Estimators in INGARCH Model
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摘要 利用拟极大似然方法研究INGARCH模型参数的估计问题,证明了拟极大似然估计的强相合性.模拟结果表明,在样本数较大时,拟极大似然估计比最大似然估计效果更好. The problems of parameter estimation in the INGARCH model were studied by making use of a method of quasi-maximum likelihood.Strong consistency of the estimators was proved.When the number of the sample is comparatively large,the simulation study shows that the quasi-maximum likelihood estimators perform more better than the maximum likelihood estimators.
出处 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2010年第4期600-604,共5页 Journal of Jilin University:Science Edition
基金 国家自然科学基金(批准号:10801048) 湖南省教育厅科研项目(批准号:09C443)
关键词 INGARCH模型 平稳性 拟极大似然 相合性 INGARCH model stationarity quasi-maximum likelihood consistency
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参考文献7

  • 1Ferland R,Latour A,Oraichi D.Integer-Valued GARCH Process[J].Journal of Time Series Analysis,2006,27(6):923-942.
  • 2朱复康,王德辉,李凤翔,李涵.一个整值ARCH(p)模型的经验似然推断[J].吉林大学学报(理学版),2008,46(6):1042-1048. 被引量:7
  • 3朱复康,李琦.INGARCH(1,1)模型参数的矩估计和Bayes估计[J].吉林大学学报(理学版),2009,47(5):899-902. 被引量:5
  • 4ZHU Fu-kang,WANG De-hui.Diagnostic Checking Integer-Valued ARCH(p) Models Using Conditional Residual Autocorrelations[J].Computational Statistics and Data Analysis,2010,54(2):496-508.
  • 5Fokianos K,Rahbek A,Tjotheim D.Poisson Autoregression[J].Journal of the American Statistical Association,2009,104:1430-1439.
  • 6ZHU Fu-kang,WANG De-hui.Estimation and Testing for a Poisson Autoregressive Model[J].Metrika,2009,doi:10.1007/s00184-009-0274-z.
  • 7Straumann Daniel.Estimation in Conditionally Herteroscedastic Time Series Models[M].Berlin:Springer,2005.

二级参考文献14

  • 1黄晓薇,宋立新.β-ARCH模型的经验似然推断[J].系统科学与数学,2007,27(1):113-123. 被引量:6
  • 2Ferland R, Latour A, Oraichi D. Integer-valued GARCH Process [ J]. Journal of Time Series Analysis, 2006, 27 (6) : 923 -942.
  • 3Owen A B. Empirical Likelihood Ratio Confidence Intervals for a Single Functional [ J]. Biometrika, 1988, 75 (2) : 237 -249.
  • 4QIN Jing, Lawless J. Empirical Likelihood and General Estimating Equations [ J]. The Annals of Statistics, 1994, 22( 1 ) : 300-325.
  • 5Chan N H, Ling S. Empirical Likelihood for GARCH Models [ J]. Econometric Theory, 2006, 22: 403-428.
  • 6Stout W F. Almost Sure Convergence [ M ]. New York: Academic Press, 1974: 303.
  • 7Weiβ C H. Thinning Operations for Modeling Time Series of Counts: a Survey [ J ]. Advances in Statistical Analysis, 2008, 92(3) : 319-341.
  • 8Weiβ C H. Modelling Time Series of Counts with Overdispersion [ J/OL]. Statistical Methods and Applications. [ 2008-09-02 ]. http ://www. springerlink, com/content/124247/w35137683.
  • 9Ferland R, Latour A, Oraichi D. Integer-valued GARCH Process [ J]. Journal of Time Series Analysis, 2006, 27 (6) : 923 -942.
  • 10Kristensen D, Linton O. A Closed-form Estimator for the GARCH ( 1,1 ) Model [ J ]. Econometric Theory, 2006, 22(2) : 323-337.

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