English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49621/84835 (58%)
Visitors : 7688974      Online Users : 97
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/987654321/58680


    Title: A note on estimation of log-linear model with measurement errors and without extra informations.
    Authors: 黃逸輝;林宜河
    Contributors: 淡江大學數學學系
    Keywords: Errors-in-variables;measurment error;log-linear;Poisson regression
    Date: 2005-09
    Issue Date: 2011-10-01 21:02:48 (UTC+8)
    Abstract: In the analysis of measurement error models, the naive estimators arc inconsistent and biased. For consistent estimation, one usually needs extra information such as additional observed variables or known parameters. A common assumption about extra information is the knowledge of measurement errors' variances. However, such variances arc usually ”known” by estimates computed from replicate measurements or some external sources. In practice, it may happen that replicates arc hard to obtain or some extra information may not be available. Both can cause problems in knowing the variances, and flaw any estimation method based on such information. In the present paper, we develop an estimation method for the log-linear model with measurement errors and without extra informations. Furthermore, this method doesn't require any distribution assumption on the measurement error ridden covariate. It is applicable when the measurement error ridden covariate is treated as fixed but unknown constant. Briefly, a functional measurement error model can be analyzed without extra information, which is an uncommon phenomenon in error-in-variables models.
    Relation: 中國統計學報 43,頁353
    DOI: 
    Appears in Collections:[數學學系暨研究所] 期刊論文

    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