Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it
Empirical Likelihood
โ Scribed by Owen A. B.
- Year
- 2001
- Tongue
- English
- Leaves
- 324
- Edition
- 1st edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
One of the first books published on the subject, Empirical Likelihood offers an in-depth treatment of this method for constructing confidence regions and testing hypotheses. The author applies the method to a range of problems, from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data. Numerous examples from a variety of disciplines and detailed descriptions of algorithms-also posted on a companion Web site-illustrate the methods in practice.
๐ SIMILAR VOLUMES
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