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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/28049


    Title: INFORMATION AND ASYMPTOTIC EFFICIENCY IN SOME GENERALIZED PROPORTIONAL HAZARDS MODELS FOR COUNTING-PROCESSES
    Authors: CHANG,IS;HSIUNG,CA
    Contributors: 數學研究所
    Keywords: REGRESSION
    Date: 1994
    Issue Date: 2010-06-29 19:40:55 (UTC+8)
    Publisher: 中央大學
    Abstract: Proportional hazards models with stochastic baseline hazards and estimators of the relative risk coefficient in these models were proposed by Prentice, Williams and Peterson and by Chang and Hsiung in medical and industrial contexts. The form of the estimating functions recommended varies according to the form of the unknown stochastic baseline hazards. This paper examines the same estimation problem in the context of large-sample theory. It is shown that the proposed estimators are regular, asymptotically normal and asmptotically efficient. Asymptotic information and representation theorems in the sense of Begun, Hall, Huang and Wellner are also provided for these models.
    Relation: ANNALS OF STATISTICS
    Appears in Collections:[Graduate Institute of Mathematics] journal & Dissertation

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