Sequential analysis : hypothesis testing and changepoint detection / Alexander Tartakovsky, University of Connecticut, Storrs, USA, Igor Nikiforov, Universit�e de Technologie de Troyes, France, Mich�ele Basseville, CNRS & IRISA, Rennes, France.Print
By: Tartakovsky, Alexander
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Contributor(s): Nikiforov, I. V. (Igor� Vladimirovich) | Basseville, M. (Mich�ele).
Material type: 
BookSeries: Monographs on statistics & applied probability ; 136.Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2015]Copyright date: �2015Description: xxiii, 579 pages : illustrations ; 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781439838204 (hardcover : alk. paper); 1439838208 (hardcover : alk. paper).Subject(s): Sequential analysis | Mathematical statistics| Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
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IBB Library-Gidan Kwano | QA279.7.T37 2015 (Browse shelf) | NC 1 | Available | 2342124858 | |
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IBB Library-Gidan Kwano | QA279.7.T37 2015 (Browse shelf) | NC 2 | Available | 2342124855 | |
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IBB Library-Gidan Kwano | QA279.7.T37 2015 (Browse shelf) | NC 3 | Available | 2342124832 | |
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IBB Library-Gidan Kwano | QA279.7.T37 2015 (Browse shelf) | NC 4 | Available | 2342124834 | |
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IBB Library-Gidan Kwano | QA279.7.T37 2015 (Browse shelf) | NC 5 | Available | 2342124859 |
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| QA279.7.T37 2015 Sequential analysis : | QA279.7.T37 2015 Sequential analysis : | QA279.7.T37 2015 Sequential analysis : | QA279.7.T37 2015 Sequential analysis : | QA279.7.T37 2015 Sequential analysis : | QA280.C69 Introductory Time Series With R | QA280.D68 2014 Nonlinear time series : |
"A Chapman & Hall book."
Includes bibliographical references (pages 547-574) and index.
1. Motivation for the sequential approach and selected applications -- 2. Background on probability and statistics -- 3. Sequential hypothesis testing : two simple hypotheses -- 4. Sequential hypothesis testing : multiple simple hypotheses -- 5. Sequential hypothesis testing : composite hypotheses -- 6. Statistical models with changes : problem formulations and optimality criteria -- 7. Sequential changepoint detection : Bayesian approach -- 8. Sequential change detection : non-Bayesian approaches -- 9. Multichart changepoint detection procedures for composite hypotheses and multipopulation models -- 10. Sequential change detection and isolation -- 11. Selected applications.
B-37814/EDIMEH/16/07/2019
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