國家衛生研究院 NHRI:Item 3990099045/3337
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    题名: Estimating equations for spatially correlated data in multi-dimensional space
    作者: Lin, PS
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: We use the quasilikelihood concept to propose an estimating equation for spatial data with correlation across the study region in a multi-dimensional space. With appropriate mixing conditions, we develop a central limit theorem for a random field under various Lp metrics. The consistency and asymptotic normality of quasilikelihood estimators can then be derived. We also conduct simulations to evaluate the performance of the proposed estimating equation, and a dataset from East Lansing Woods is used to illustrate the method. 穢 2008 Biometrika Trust.
    日期: 2008-12
    關聯: Biometrika. 2008 Dec;95(4):847-858.
    Link to: http://dx.doi.org/10.1093/biomet/asn046
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0006-3444&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000261279900005
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=57249090975
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