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: | School of Business, Economics & Informatics > Economics, Mathematics and Statistics |
| Depositing User: | Administrator |
| Date Deposited: | 08 Dec 2010 12:05 |
| Last Modified: | 23 Feb 2021 06:44 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/2913 |
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