國家衛生研究院 NHRI:Item 3990099045/1685
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    题名: Quasi-likelihood regression with multiple indices and smooth link and variance functions
    作者: Chiou, JM;Muller, HG
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: A flexible semi-parametric regression model is proposed for modelling the relationship between a response and multivariate predictor variables. The proposed multiple-index model includes smooth unknown link and variance functions that are estimated non-parametrically. Data-adaptive methods for automatic smoothing parameter selection and for the choice of the number of indices M are considered. This model adapts to complex data structures and provides efficient adaptive estimation through the variance function component in the sense that the asymptotic distribution is the same as if the non-parametric components are known. We develop iterative estimation schemes, which include a constrained projection method for the case where the regression parameter vectors are mutually orthogonal. The proposed methods are illustrated with the analysis of data from a growth bioassay and a reproduction experiment with medflies. Asymptotic properties of the estimated model components are also obtained.
    关键词: Statistics & Probability
    日期: 2004-09
    關聯: Scandinavian Journal of Statistics. 2004 Sep;31(3):367-386.
    Link to: http://dx.doi.org/10.1111/j.1467-9469.2004.02-117.x
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0303-6898&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000222961800004
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=4043055183
    显示于类别:[丘政民(2000-2004)] 期刊論文

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