Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules PDF
by Alexander Tartakovsky
Part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
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Description
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.
Information
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Download - Immediately Available
- Format:PDF
- Pages:300 pages
- Publisher:Taylor & Francis Inc
- Publication Date:11/12/2019
- Category:
- ISBN:9781498757591
Other Formats
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- Hardback from £155.00
Information
-
Download - Immediately Available
- Format:PDF
- Pages:300 pages
- Publisher:Taylor & Francis Inc
- Publication Date:11/12/2019
- Category:
- ISBN:9781498757591
