Sequential Change Detection and Hypothesis Testing : General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules EPUB
by Alexander (University of Connecticut, Storrs, USA) Tartakovsky
Part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
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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.
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- Format:EPUB
- Pages:300 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:11/12/2019
- Category:
- ISBN:9780429531712
Information
-
Download Now
- Format:EPUB
- Pages:300 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:11/12/2019
- Category:
- ISBN:9780429531712
