國家衛生研究院 NHRI:Item 3990099045/6096
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/6096


    Title: Quasi-deviance functions for spatially correlated data
    Authors: Lin, PS
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: This paper introduces a quasi-deviance function for model selection of given spatial data. The proposed deviance function involves only the mean and covariance of responses, and therefore avoids the difficulty of specifying a full-likelihood function. We show that, under certain regularity conditions, the deviance function with quasi-likelihood estimating equation has a limiting chi-squared distribution. The asymptotic quadratic form of the deviance function provides a consistent method for selecting the true model. We also conduct simulations to evaluate the performance of the proposed method, and use the East Lansing Woods data to illustrate the application.
    Date: 2011-10
    Relation: Statistica Sinica. 2011 Oct;21(4):1785-1806.
    Link to: http://dx.doi.org/10.5705/ss.2009.292
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1017-0405&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000296212600014
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84858401066
    Appears in Collections:[Pei-Sheng Lin] Periodical Articles

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