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局部平稳高斯过程的最大值与最小值的渐近独立性 被引量:1

Asymptotic Independence of Maxima and Minima of Locally Stationary Gaussian Processes
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摘要 研究了满足Berman条件的局部平稳高斯过程 {X(t) ,0≤t≤T}的最大值与最小值的联合渐近分布 .在一定条件下 ,获得了最大值与最小值的渐近独立性和绝对值的渐近分布 . Let X(t), 0≤t≤T be locally stationary Gaussian process that satisfies Berman' condition. We study the asymptotic joint distribution of maxima and minima. Under some conditions the paper discuss the asymptotic independence of maxima and minima and the limit distribution of absolute maxima.
出处 《西南师范大学学报(自然科学版)》 CAS CSCD 北大核心 2004年第2期192-197,共6页 Journal of Southwest China Normal University(Natural Science Edition)
基金 国家自然科学基金资助项目 ( 70 3 710 61)
关键词 局部平稳高斯过程 Berman条件 最大值 最小值 渐近独立性 密度函数 locally stationary Gaussian processes Berman condition maxima and minima
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参考文献6

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同被引文献18

  • 1凌成秀,彭作祥.属于同一吸引场的分布函数尾等价的充要条件[J].西南师范大学学报(自然科学版),2005,30(1):18-21. 被引量:3
  • 2Dekkers A L M, de Haan L. On the Estimation of the Extreme-Value Index and Large Quantile Estimation [J]. Ann Statist, 1989, 17: 1795-1832.
  • 3Piekands J. Statistics Inference Using Extreme Order Statistics [J]. Ann Statist, 1975, 3: 119 - 131.
  • 4Hill B M. A Simple General Approach to Inference About the Tail of a Distribution [J]. Ann Statist, 1975: 3, 1163 -1174.
  • 5Peng L. Asymptotically Unbiased Estimators for the Extreme-Value Index [J]. Statistics & Probability Letters, 1998,38: 107- 115.
  • 6Reiss R D. Asymptotic Distributions of Order Statistics [M]. New York: Springer, 1989.
  • 7Holger Drees, Edgar Kaufmann. Selecting the Optimal Sample Fraction in Univariate Extreme Value Index [J]. Stochastic Processes and their Applications, 1998, 75: 149 - 172.
  • 8de Haan L, Statrnuller U. Generalized Regular Variation of Second Order[J]. J Austral Math Soc(Ser. A), 1996, 61:381 -395.
  • 9Dekkers A L M, de Haan L. Optional Choice of Sample Fraction in Extreme-Value Estimation [J]. J Multivariate Analysis, 1993, 47: 173-195.
  • 10Beirlant J, Vynckier P, Teugels J L. Excess Functions and Estimation of the Extreme-Value Index[J]. Bernoulli Journal of Mathematical Statistics and Probabicity, 1996, 2(4): 293- 318.

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