English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18055/20253 (89%)
Visitors : 24747905      Online Users : 445
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/21998

    標題: Approximation Theorems of the Empirical Distribution of the Sample Mean For Φ -Mixing Random Vectors
    作者: Bih-Sheue Shieh
    Sheng-Kai Yang
    貢獻者: 資訊管理系
    關鍵字: weakly dependent random vectors
    invariant principle
    law of iterated logarithm
    Φ -mixing
    日期: 2003
    上傳時間: 2010-03-24 16:45:17 (UTC+8)
    摘要: Let {Xi:-∞I<i<∞} be a Φ-mixing stationary sequence of random vectors. Let Fn(x) be the corresponding empirical distribution function of X1,…,Xn,and let X ,be the sample mean of the present investigation is to show that the asymptotic almostsure representation of Fn(X). Two different orders of the remainder term,under different Φ-mixing conditions, are obtained and used for proving functional central limit theorrms, laws of iterated logarithm, Wiener processes embedding and invariant principles for Fn(X).
    關聯: 嘉南學報 28期 : p.44-52
    Appears in Collections:[嘉南學報] 28 期 (2002)
    [資訊管理系] 期刊論文
    [化妝品應用與管理系(所)] 期刊論文

    Files in This Item:

    File Description SizeFormat
    v28_44_52_摘要.pdf136KbAdobe PDF676View/Open

    All items in CNU IR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback