Synopsis
This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-divergence. Here, the distance can be chosen from a much general model, which includes the KL-divergence as a very special case. This is then extended by various means. A minimax robust test that is robust against both outliers as well as modeling errors is presented. Minimax robustness properties of the given tests are also explicitly proven for fixed sample size and sequential probability ratio tests. The theory of robust detection is extended to robust estimation and the theory of robust distributed detection is extended to classes of distributions, which are not necessarily stochastically bounded. It is shown that the quantization functions for the decision rules can also be chosen as non-monotone. Finally, the book describes the derivation of theoretical bounds in minimax decentralized hypothesis testing, which have not yet been known. As a timely report on the state-of-the-art in robust hypothesis testing, this book is mainly intended for postgraduates and researchers in the field of electrical and electronic engineering, statistics and applied probability. Moreover, it may be of interest for students and researchers working in the field of classification, pattern recognition and cognitive radio.
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Robust and Distributed Hypothesis Testing (Lecture Notes in Electrical Engineering, 414)
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Robust and Distributed Hypothesis Testing
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Springer International Publishing Jul 2018, 2018
ISBN 10 : 331984122X
ISBN 13 : 9783319841229
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-divergence. Here, the distance can be chosen from a much general model, which includes the KL-divergence as a very special case. This is then extended by various means. A minimax robust test that is robust against both outliers as well as modeling errors is presented. Minimax robustness properties of the given tests are also explicitly proven for fixed sample size and sequential probability ratio tests. The theory of robust detection is extended to robust estimation and the theory of robust distributed detection is extended to classes of distributions, which are not necessarily stochastically bounded. It is shown that the quantization functions for the decision rules can also be chosen as non-monotone. Finally, the book describes the derivation of theoretical bounds in minimax decentralized hypothesis testing, which have not yet been known. As a timely report on the state-of-the-art in robust hypothesis testing, this book is mainly intended for postgraduates and researchers in the field of electrical and electronic engineering, statistics and applied probability. Moreover, it may be of interest for students and researchers working in the field of classification, pattern recognition and cognitive radio. 168 pp. Englisch. N° de réf. du vendeur 9783319841229
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Robust and Distributed Hypothesis Testing
Edité par
Springer International Publishing, 2018
ISBN 10 : 331984122X
ISBN 13 : 9783319841229
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reports on novel schemes for minimax robust hypothesis testing and decentralized detectionProvides tools for dealing with modeling errors and outliersDiscusses applications to spectrum sensing, classification and forest fire detection. N° de réf. du vendeur 448758199
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Robust and Distributed Hypothesis Testing
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Springer International Publishing, 2018
ISBN 10 : 331984122X
ISBN 13 : 9783319841229
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Robust and Distributed Hypothesis Testing | Gökhan Gül | Taschenbuch | xxi | Englisch | 2018 | Springer International Publishing | EAN 9783319841229 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 114238318
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Robust and Distributed Hypothesis Testing
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Taschenbuch. Etat : Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. N° de réf. du vendeur 9783319841229
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Robust and Distributed Hypothesis Testing
ISBN 10 : 331984122X
ISBN 13 : 9783319841229
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book generalizes and extends the available theory in robust and decentralized hypothesis testing. In particular, it presents a robust test for modeling errors which is independent from the assumptions that a sufficiently large number of samples is available, and that the distance is the KL-divergence. Here, the distance can be chosen from a much general model, which includes the KL-divergence as a very special case. This is then extended by various means. A minimax robust test that is robust against both outliers as well as modeling errors is presented. Minimax robustness properties of the given tests are also explicitly proven for fixed sample size and sequential probability ratio tests. The theory of robust detection is extended to robust estimation and the theory of robust distributed detection is extended to classes of distributions, which are not necessarily stochastically bounded. It is shown that the quantization functions for the decision rules can also be chosen as non-monotone. Finally, the book describes the derivation of theoretical bounds in minimax decentralized hypothesis testing, which have not yet been known. As a timely report on the state-of-the-art in robust hypothesis testing, this book is mainly intended for postgraduates and researchers in the field of electrical and electronic engineering, statistics and applied probability. Moreover, it may be of interest for students and researchers working in the field of classification, pattern recognition and cognitive radio. N° de réf. du vendeur 9783319841229
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Robust and Distributed Hypothesis Testing (Lecture Notes in Electrical Engineering)
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Robust and Distributed Hypothesis Testing (Lecture Notes in Electrical Engineering)
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Etat : New. PRINT ON DEMAND pp. 141. N° de réf. du vendeur 18384424960
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