國家衛生研究院 NHRI:Item 3990099045/3737
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/3737


    Title: A comparison of efficiencies between quasi-likelihood and pseudo-likelihood estimates in non-separable spatial-temporal binary data
    Authors: Lin, PS;Lee, HY;Clayton, M
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: The goal of this paper is to compare the performance of two estimation approaches, the quasi-likelihood estimating equation and the pseudo-likelihood equation, against model mis-specification for non-separable binary data. This comparison, to the authors' knowledge, has not been done yet. In this paper, we first extend the quasi-likelihood work on spatial data to non-separable binary data. Some asymptotic properties of the quasi-likelihood estimate are also briefly discussed. We then use the techniques of a truncated Gaussian random field with a quasi-likelihood type model and a Gibbs sampler with a conditional model in the Markov random field to generate spatial-temporal binary data, respectively. For each simulated data set, both of the estimation methods are used to estimate parameters. Some discussion about the simulation results are also included.
    Date: 2009-09-01
    Relation: Journal of Statistical Planning and Inference. 2009 Sep 1;139(9):3310-3318.
    Link to: http://dx.doi.org/10.1016/j.jspi.2009.03.015
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0378-3758&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000267956600036
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=67349092517
    Appears in Collections:[Pei-Sheng Lin] Periodical Articles

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