Back to results
Cover image for book Sequential Change Detection and Hypothesis Testing

Sequential Change Detection and Hypothesis Testing

General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules
By:Alexander Tartakovsky
Publisher:Taylor & Francis
Print ISBN:9781032084350
eText ISBN:9780429531712
Edition:1
Copyright:2020
Format:Reflowable

eBook Features

Instant Access

Purchase and read your book immediately

Read Offline

Access your eTextbook anytime and anywhere

Study Tools

Built-in study tools like highlights and more

Read Aloud

Listen and follow along as Bookshelf reads to you

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.