English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 94559/125088 (76%)
Visitors : 29798934      Online Users : 595
RC Version 6.0 © 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
    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/62093
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/62093

    Title: Spatial Clusters in a Global-Dependence Model
    Authors: 余清祥
    Wang, Tai-Chi;Yue,Ching-Syang Jack
    Contributors: 統計系
    Keywords: Local Cluster;Spatial Global Dependence;Conditional Autocorrelated Regressive Model;Spatial Scan Statistic;EM Estimates;Generalized Least Square
    Date: 2013.04
    Issue Date: 2013-12-03 18:16:10 (UTC+8)
    Abstract: Spatial data often possess multiple components, such as local clusters and global clustering, and these effects are not easy to be separated. In this study, we propose an approach to deal with the cases where both global clustering and local clusters exist simultaneously. The proposed method is a two-stage approach, estimating the autocorrelation by an EM algorithm and detecting the clusters by a generalized least square method. It reduces the influence of global dependence on detecting local clusters and has lower false alarms. Simulations and the sudden infant disease syndrome data of North Carolina are used to illustrate the difference between the proposed method and the spatial scan statistic.
    Relation: Spatial and Spatio-temporal Epidemiology, 0,0
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.sste.2013.03.003
    DOI: 10.1016/j.sste.2013.03.003
    Appears in Collections:[統計學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    00000.pdf857KbAdobe PDF838View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

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