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Sequential Change Detection Hypothesis by Tartakovsky Alexander (34 results)
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
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ISBN 10: 1032084359 ISBN 13: 9781032084350
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC 2021-06, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC 2019-12-31, 2019
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
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Language: English
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
Condition: New.
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498757588 ISBN 13: 9781498757584
Language: English
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Sequential Change Detection and Hypothesis Testing
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Sequential Change Detection and Hypothesis Testing
Published by Chapman And Hall/CRC Jun 2021, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks How can local authorities improve early detection and prevention of epidemics How can researchers improve the identification and classification of space objects in difficult (e.g., dim) settings These questions, among others in dozens of fields, can be addressed using statistical methods of sequential hypothesis testing and changepoint detection. This book considers sequential changepoint detection for very general non-i.i.d. stochastic models, that is, when the observed data is dependent and non-identically distributed. Previous work has primarily focused on changepoint detection with simple hypotheses and single-stream data. This bookextends the asymptotic theory of change detection to the case of composite hypotheses as well as for multi-stream data when the number of affected streams is unknown. These extensions are more relevant for practical applications, including in modern, complex information systems and networks. These extensions are illustratedusing Markov, hidden Markov, state-space, regression, and autoregression models, and several applications, including near-Earth space informatics and cybersecurity are discussed. This book is aimed at graduate students and researchers in statistics and applied probability who are familiar with complete convergence, Markov random walks, renewal and nonlinear renewal theories, Markov renewal theory, and uniform ergodicity of Markov processes. Key features:Design and optimality properties of sequential hypothesis testing and change detection algorithms (in Bayesian, minimax, pointwise, and other settings)Consideration of very general non-i.i.d. stochastic models that include Markov, hidden Markov, state-space linear and non-linear models, regression, and autoregression modelsMultiple decision-making problems, including quickest change detection-identificationReal-world applications to object detection and tracking, near-Earth space informatics, computer network surveillance and security, and other topics 320 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alexander Tartakovsky is a Professor and Head of the Space Informatics Laboratory at the Moscow Institute of Physics and Technology and President of AGT StatConsult, Los Angeles, California, USA. From 1997 to 2013, he was a Professor at .
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Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
Published by Chapman And Hall/CRC, 2021
ISBN 10: 1032084359 ISBN 13: 9781032084350
Language: English
US$ 107.97
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks How can local authorities improve early detection and prevention of epidemics How can researchers improve the identification and classification of space objects in difficult (e.g., dim) settings These questions, among others in dozens of fields, can be addressed using statistical methods of sequential hypothesis testing and changepoint detection. This book considers sequential changepoint detection for very general non-i.i.d. stochastic models, that is, when the observed data is dependent and non-identically distributed. Previous work has primarily focused on changepoint detection with simple hypotheses and single-stream data. This bookextends the asymptotic theory of change detection to the case of composite hypotheses as well as for multi-stream data when the number of affected streams is unknown. These extensions are more relevant for practical applications, including in modern, complex information systems and networks. These extensions are illustratedusing Markov, hidden Markov, state-space, regression, and autoregression models, and several applications, including near-Earth space informatics and cybersecurity are discussed. This book is aimed at graduate students and researchers in statistics and applied probability who are familiar with complete convergence, Markov random walks, renewal and nonlinear renewal theories, Markov renewal theory, and uniform ergodicity of Markov processes. Key features:Design and optimality properties of sequential hypothesis testing and change detection algorithms (in Bayesian, minimax, pointwise, and other settings)Consideration of very general non-i.i.d. stochastic models that include Markov, hidden Markov, state-space linear and non-linear models, regression, and autoregression modelsMultiple decision-making problems, including quickest change detection-identificationReal-world applications to object detection and tracking, near-Earth space informatics, computer network surveillance and security, and other topics.
