DocumentCode
942951
Title
On the robust discrimination of Poisson random counting measures (Corresp.)
Author
Sadowsky, John S.
Volume
33
Issue
3
fYear
1987
fDate
5/1/1987 12:00:00 AM
Firstpage
415
Lastpage
419
Abstract
Statistical decisions are considered between two hypotheses which consist of classes of Poisson distributions for random counting measures. Each Poisson distribution is generated by an intensity measure on a general observation space. The classes are specified by Choquet capacity bounds on the intensity measures. This problem was first posed and studied by Geraniotis and Poor. A minimax Neyman-Pearson result for error probability performance is the main contribution. Recursive computation of the minimax test statistic is also investigated.
Keywords
Decision making; Minimax methods; Poisson processes; Robustness; Approximation error; Art; Autocorrelation; Eigenvalues and eigenfunctions; Equations; Polynomials; Robustness; Stability; Symmetric matrices; Vectors;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1987.1057311
Filename
1057311
Link To Document