Sequential Analysis Hypothesis Testing and Changepoint Detection |
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Author:
| Tartakovsky, Alexander Nikiforov, Igor Basseville, Michele |
ISBN: | 978-1-4398-3821-1 |
Publication Date: | Aug 2014 |
Publisher: | CRC Press LLC
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Imprint: | Chapman & Hall/CRC |
Book Format: | Digital (delivered electronically) |
List Price: | USD $54.95USD $270.00USD $200.00 |
Book Description:
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This book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It reviews recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic (non-Bayesian) contexts. The authors not only emphasize traditional binary hypotheses but also substantially more difficult multiple decision...
More DescriptionThis book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It reviews recent accomplishments in hypothesis testing and changepoint detection both in decision-theoretic (Bayesian) and non-decision-theoretic (non-Bayesian) contexts. The authors not only emphasize traditional binary hypotheses but also substantially more difficult multiple decision problems. They treat conventional i.i.d. and general non-i.i.d. stochastic models in detail, including Markov, hidden Markov, state-space, regression, and autoregression models.