淡江大學機構典藏:Item 987654321/20673
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    题名: The quasi-likelihood estimation in regression
    作者: 吳忠武;Wu, Jong-wuu
    贡献者: 淡江大學統計學系
    关键词: Regression parameter;quasi-likelihood model;link function;Monte Carlo simulation
    日期: 1996-06-01
    上传时间: 2009-11-30 12:56:06 (UTC+8)
    出版者: Springer
    摘要: I propose a simply method to estimate the regression parameters in quasi-likelihood model My main approach utilizes the dimension reduction technique to first reduce the dimension of the regressor X to one dimension before solving the quasi-likelihood equations. In addition, the real advantage of using dimension reduction technique is that it provides a good initial estimate for one-step estimator of the regression parameters. Under certain design conditions, the estimators are asymptotically multivariate normal and consistent. Moreover, a Monte Carlo simulation is used to study the practical performance of the procedures, and I also assess the cost of CPU time for computing the estimates.
    關聯: Annals of the Institute of Statistical Mathematics 48(2), pp.283-294
    DOI: 10.1007/BF00054791
    显示于类别:[統計學系暨研究所] 期刊論文

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