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)

by Alexander Tartakovsky

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Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields, including quality control, biomedical engineering, communication networks, econometrics, image processing, security, etc. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades. The methods are illustrated through real data examples, and software is referenced where possible. The emphasis is on providing all the theoretical details in a unified framework, with pointers to new research directions.
  • ISBN13 9780429531712
  • Publish Date 11 December 2019 (first published 2 December 2019)
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint Routledge Cavendish
  • Format eBook (EPUB)
  • Pages 300
  • Language English