English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52572/87736 (60%)
Visitors : 9378636      Online Users : 126
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/987654321/97786

    Title: Approximate estimations in capture–recapture model with heteroscedastic measurement errors
    Authors: Hwang, Wen-Han;Huang, Yih-Huei;Chen, Fei-Yin
    Contributors: 淡江大學數學學系
    Keywords: differential measurement error;population size;regression calibration;SIMEX;small measurement error
    Date: 2013-10
    Issue Date: 2014-04-21 15:37:54 (UTC+8)
    Publisher: Abingdon: Taylor & Francis
    Abstract: In a capture–recapture experiment, the number of measurements for individual covariates usually equals the number of captures. This creates a heteroscedastic measurement error problem and the usual surrogate condition does not hold in the context of a measurement error model. This study adopts a small measurement error assumption to approximate the conventional estimating functions and the population size estimator. This study also investigates the biases of the resulting estimators. In addition, modifications for two common approximation methods, regression calibration and simulation extrapolation, to accommodate heteroscedastic measurement error are also discussed. These estimation methods are examined through simulations and illustrated by analysing a capture–recapture data set.
    Relation: Journal of Statistical Computation and Simulation
    DOI: 10.1080/00949655.2013.845669
    Appears in Collections:[數學學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    Approximate estimations in capture–recapture model with heteroscedastic measurement errors.pdf414KbAdobe PDF0View/Open

    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