Extended empirical likelihood for estimating equations
Min Tsao, Fan Wu
Abstract
Min Tsao, Fan Wu
Abstract
We derive an extended empirical likelihood for parameters defined by estimating equations which generalizes the original empirical likelihood to the full parameter space. Under mild conditions, the extended empirical likelihood has all the asymptotic properties of the original empirical likelihood. The first-order extended empirical likelihood is easy to use and substantially more accurate than the original empirical likelihood.
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We derive an extended empirical likelihood for parameters defined by estimating equations which generalizes the original empirical likelihood to the full parameter space. Under mild conditions, the extended empirical likelihood has all the asymptotic properties of the original empirical likelihood. The first-order extended empirical likelihood is easy to use and substantially more accurate than the original empirical likelihood.
Key concepts: Empirical likelihood, Mathematics, Likelihood function, Likelihood principle, Marginal likelihood, Restricted maximum likelihood, Estimating equations, Maximum likelihood