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A Decision-Theoretic Approach to Interval Estimation
Abstract
Under an appropriate loss function, interval estimation may be regarded as a Bayesian decision-making procedure in which the objective is to find an interval that minimizes expected loss. For various loss functions, the behavior of the optimal interval is investigated, a comparison is made with the usual non-decision-theoretic interval estimates, and applications and examples are discussed.
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Metadata
- Authors
- Winkler, R. L.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1972-03
- Volume
- 67
- Issue
- 337
- Pages
- 187-191
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2008709824
- Cited by
- 249
- References
- 0
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- closed
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