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Revisiting the Estimation of the Mean Using Order Statistics by Steeve Zozor; Éric Moisan; Pierre-Olivier Amblard is a Computer Science article available to read on EtoBox.

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This paper deals with the problem of estimating expected values using Order Statistics of a small sample. Estimators using a linear combination of Order Statistics, are compared to usual linear estimators. It is shown that while the use of Order Statistics improves the estimation of white sequences, linear estimators are sometimes more effective for colored sequences. Thus, a new estimator based on both the variates and their Order Statistics is developed. It is shown that this new estimator performs at least as well as Order Statistics estimators, and at least as well as linear estimators. An adaptive scheme of these estimators is then given and applied to estimate a binary noisy signal.

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Author

Steeve Zozor; Éric Moisan; Pierre-Olivier Amblard

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-1684)

Published

1998

Language

EN

Field

Computer Science (Physical Sciences)