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  1. NTU Theses and Dissertations Repository
  2. 理學院
  3. 數學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46224
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DC 欄位值語言
dc.contributor.advisor杜憶萍(I-Ping Tu)
dc.contributor.authorJia-Hao Jhangen
dc.contributor.author張家豪zh_TW
dc.date.accessioned2021-06-15T04:58:47Z-
dc.date.available2015-07-29
dc.date.copyright2010-07-29
dc.date.issued2010
dc.date.submitted2010-07-28
dc.identifier.citation[1]Anderson, T. W. (1971) The Statistical Analysis of Time Series. Wiley, New York.
[2]Hamilton, J. D. (1994) Time Series Analysis, Princeton University Press.
[3]Siegmund, D. (1985) Sequential Analysis: Tests and ConRdence Intervals. New York: Springer-Verlag.
[4]Siegmund, D. (1988) Tail probabilities for the maxima of some random Relds. Ann. Probab., 16, 487-501.
[5]Siegmund, D. (1992) Tail approximations for maxima of random Relds. In L.H.Y. Chen, K.P. Choi, K.Hu and J.-H. Lou (eds), Probability Theory.
[6]Siegmund, D. and Yakir, B. (2000) Tail probabilities for the null distribution of scanning statistics. Bernoulli 6(2), 191-213.
[7]Siegmund, D. and Yakir, B. (2000) Approximate p-values for local sequence alignments. The Annals of Statistics. Vol. 28,No.3, 657-680.
[8]Woodroofe, M. (1976) Frequentist properties of Bayesian sequential tests. Biometrika, 63, 101-110.
[9]Woodroofe, M. (1982) Nonlinear Renewal Theory in Sequential Analysis. Philadelphia: Society for Industrial and Applied Mathematics.
[10]Yakir, B. and Pollak M. (1998) A new representation for a renewal-theoretic constant appearing in asymptotic approximations of large deviations. The Annals of Applied Probability, Vol8, No. 3, 749-774.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46224-
dc.description.abstractWe are interested in the probability that the maximal value of a stochastic process exceeds a value a. The change-point detection is an example. A p-value approximation is obtained as a is large enough for testing a null hypothesis that all observations from the standard normal distribution are independent on the multi-dimensional index set against an alternative that they have a specific form on a particular subregion of the multi-dimensional index set, which is assigned to a vector autoregressive model in this paper. The VAR model is a natural extension of the univariate autoregressive model when multiple time series is concerned. Many methods have been developed to approximate the tail probabilities of the distribution of the maximum under null hypothesis. We use the method introduced by Yakir and Pollak to find a representation for the p-value approximation as a is large.en
dc.description.provenanceMade available in DSpace on 2021-06-15T04:58:47Z (GMT). No. of bitstreams: 1
ntu-99-R97221004-1.pdf: 281905 bytes, checksum: ade15258fdc5fe43bf5c2d0321647484 (MD5)
Previous issue date: 2010
en
dc.description.tableofcontentsAbstract................................i
Contents................................ii
Introduction............................1
Results and brief of the approaches.....4
A more precise treatment................14
Simulation..............................20
Appendix................................25
References..............................29
dc.language.isoen
dc.subject概似比zh_TW
dc.subject改變測度zh_TW
dc.subject改變點zh_TW
dc.subject向量自我迴歸模型zh_TW
dc.subjectvector autoregressionen
dc.subjectchange pointen
dc.subjectchange of measureen
dc.subjectlog-likelihood ratioen
dc.title檢測向量自我迴歸模型下概似比的 p-value 估計zh_TW
dc.titleP-Value Approximation For The Log-Likelihood Ratio Statistic To Vector Autoregressionen
dc.typeThesis
dc.date.schoolyear98-2
dc.description.degree碩士
dc.contributor.oralexamcommittee姚怡慶(Yi-Ching Yao),何淮中(Hwai-Chung Ho),張源俊(Yuan-chin Ivan Chang),傅承德(Cheng-Der Fuh)
dc.subject.keyword改變點,改變測度,向量自我迴歸模型,概似比,zh_TW
dc.subject.keywordchange point,change of measure,vector autoregression,log-likelihood ratio,en
dc.relation.page29
dc.rights.note有償授權
dc.date.accepted2010-07-29
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept數學研究所zh_TW
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