Borkar, V. S. ; Mitter, S. K. ; Venkatesh, S. R. (2004) Variations on a theme by Neyman and Pearson Sankhya, 66 (2). pp. 292-305. ISSN 0972-7671
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Official URL: http://www.jstor.org/pss/25053354
Abstract
A symmetric version of the Neyman-Pearson test is developed for discriminating between sets of hypotheses and is extended to encompass a new formulation of the problem of parameter estimation based on finite data sets. Such problems can arise in distributed sensing and localization problems in sensor networks, where sensor data must be compressed to account for communication constraints. In this setting it is natural to focus on methods that balance coarse resolution of the estimates for achieving higher reliability.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Indian Statistical Institute. |
| Keywords: | Multiple Hypothesis Testing; Parametric Inference; Minmax; Convex Optimization |
| ID Code: | 81456 |
| Deposited On: | 06 Feb 2012 05:22 |
| Last Modified: | 06 Feb 2012 05:22 |
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