Alexander Tartakovsky, Igor Nikiforov, Michele Basseville

Sequential Analysis (eBook, ePUB)

Hypothesis Testing and Changepoint Detection

• Format: ePub

Produktbeschreibung

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 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.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 27. August 2014
• Englisch
• ISBN-13: 9781040067291
• Artikelnr.: 72518877

Autorenporträt

Alexander Tartakovsky, Igor Nikiforov, Michele Basseville