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    Maximum likelihood estimation of linear models for longitudinal data with inequality constraints

    Xu, Jing and Wang, J. (2008) Maximum likelihood estimation of linear models for longitudinal data with inequality constraints. Communications in Statistics - Theory and Methods 37 (6), pp. 931-946. ISSN 0361-0926.

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    Abstract

    Maximum likelihood (ML) estimation for linear models with longitudinal data under inequality restrictions is investigated. Within-subject correlations are modeled by parametric structure. Asymptotic properties of constrained ML estimates, including strong consistency, approximate representation and asymptotic distribution, are derived. Finally, the ML estimators with and without constraints are compared in terms of sample bias, sample mean-square error MSE and sample variance of the estimators by a simulation.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Approximate representation, asymptotic distribution, inequality constraints, longitudinal data
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Administrator
    Date Deposited: 08 Dec 2010 12:05
    Last Modified: 17 Apr 2013 12:33
    URI: http://eprints.bbk.ac.uk/id/eprint/2913

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