English  |  正體中文  |  简体中文  |  Items with full text/Total items : 55990/90025 (62%)
Visitors : 11527862      Online Users : 98
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/65001


    Title: Nonparametric Estimation in Change-Point Models
    Authors: Huang, Wen-Tao;Chang, Yi-Ping
    Contributors: 淡江大學經營決策學系
    Date: 1993-01-01
    Issue Date: 2011-10-20 16:20:21 (UTC+8)
    Abstract: We consider a new change-point model with some smooth mixture intervention. Some least-squares type estimators for the parameters are proposed and some large sample properties for these estimators are shown. A Monte Carlo study shows that the proposed estimators behave satisfactorily for the normal case.
    Relation: Journal of Statistical Planning and Inference 35(3), pp.335-347
    DOI: 10.1016/0378-3758(93)90021-W
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    There are no files associated with this item.

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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