English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 54229/89020 (61%)
造访人次 : 10553987      在线人数 : 23
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20647

    题名: Assessing Ordinal Logistic Regression Models via Nonparametric Smoothing
    作者: Lin, K. C.;陳怡如;Chen, Yi-ju
    贡献者: 淡江大學統計學系
    关键词: Cumulative logit model;Deviance;Local linear smoother;Pearson chi-square
    日期: 2008-01-01
    上传时间: 2009-11-30 12:54:52 (UTC+8)
    出版者: Taylor & Francis
    摘要: A nonparametric local linear smoothing technique for testing goodness-of-fit of ordinal logistic regression models with continuous and categorical covariates is presented. This proposed test statistic is a generalization of Lin and Chen's statistic (2005 Lin , K. C. , Chen , Y. J. ( 2005 ). Testing the goodness-of-fit of logistic models based on local linear smoothing . Int. J. Infor. Mgmnt. Sci. 16 : 83 – 95 .
    ) to ordinal response data. The extension of logistic regression models for binary responses to ordinal responses is usually involved by modeling cumulative logits. The expectation and variance of the proposed test statistic are derived, and the sampling distribution of the test statistic, which approximates a scaled chi-square distribution is evaluated by simulation. The power comparison between the proposed test and methods of Pulkstenis and Robinson (2004 Pulkstenis , E. , Robinson , T. J. ( 2004 ). Goodness-of-fit tests for ordinal response regression models . Statist. Med. 23 : 999 – 1014 .
    [CrossRef], [PubMed], [Web of Science ®]
    ) are also provided. The simulations reveal that the proposed test has greater power to detect the omitted interaction term, incorrectly functional form of continuous covariates, or misspecification of the complimentary log-log link function for various sample sizes. The proposed testing procedure is illustrated by a numerical study.
    關聯: Communications in Statistics : Theory and Methods 37(6) , pp. 917-930
    DOI: 10.1080/03610920701713179
    显示于类别:[統計學系暨研究所] 期刊論文


    档案 大小格式浏览次数



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