中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/27823
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 70585/70585 (100%)
Visitors : 23025165      Online Users : 427
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: http://ir.lib.ncu.edu.tw/handle/987654321/27823


    Title: TESTING GOODNESS-OF-FIT FOR A PARAMETRIC FAMILY OF LINK FUNCTIONS
    Authors: CHENG,KF;WU,JW
    Contributors: 統計研究所
    Keywords: GENERALIZED LINEAR-MODELS;LOGISTIC-REGRESSION MODELS;QUASI-LIKELIHOOD FUNCTIONS;GRAPHICAL METHODS;CURVES
    Date: 1994
    Issue Date: 2010-06-29 19:34:23 (UTC+8)
    Publisher: 中央大學
    Abstract: We concern ourselves with the methods for testing the overall goodness of fit of a parametric family of link functions used for modeling the conditional mean of the response variable Y given the covariates X = x is-an-element-of R(p). The null hypothesis is that the conditional mean function is a known functional depending on betax and a finite number of parameters theta = (theta1,..., theta(q)), where beta is a p-dimensional row vector of regression parameters and x is a column vector. The proposed test statistic is derived from an ''information'' equivalence result and a dimension-reduction technique. The new test is very simple in computation. Also, it is generally consistent against broad class of alternatives and, asymptotically, the null distribution is independent of the underlying distribution of Y, given X = x. Practical examples are given to show the advantage of the proposed test. Furthermore, power comparisons with the test used by Su and Wei are also performed to indicate the usefulness of the new test. Particularly, we find that the new test has good power performance in discriminating between the probit and logit links.
    Relation: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
    Appears in Collections:[Graduate Institute of Statistics] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML422View/Open


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

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明