Robust and Distributed Hypothesis Testing (Record no. 79968)
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fixed length control field | 03840nam a22005655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-49286-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221718.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170308s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319492865 |
-- | 978-3-319-49286-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Gül, Gökhan. |
245 10 - TITLE STATEMENT | |
Title | Robust and Distributed Hypothesis Testing |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XXI, 141 p. 47 illus., 42 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Lecture Notes in Electrical Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Background -- Robust Hypothesis Testing with a Single Distance -- Robust Hypothesis Testing with Multiple Distances -- Robust Hypothesis Testing with Repeated Observations -- Robust Decentralized Hypothesis Testing -- Minimax Decentralized Hypothesis Testing -- Conclusions and Outlook. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-49286-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
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-- | txt |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics . |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition systems. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistical Theory and Methods. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automated Pattern Recognition. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1876-1119 ; |
912 ## - | |
-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
No items available.