<p>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 re
Sequential Analysis: Hypothesis Testing and Changepoint Detection
โ Scribed by Alexander Tartakovsky; I V Nikiforov; M Basseville
- Publisher
- Taylor & Francis, CRC Press
- Year
- 2014
- Tongue
- English
- Leaves
- 600
- Series
- Chapman & Hall/CRC Monographs on Statistics & Applied Probability
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: Motivations for the sequential approach Background on probability and statistics Sequential Hypothesis Testing Sequential hypothesis testing - Two simple hypotheses Sequential hypothesis testing - Multiple simple hypotheses Sequential hypothesis testing - Composite hypotheses Change-Point Detection Statistical models with changes - Problem formulations and optimality criteria Sequential change-point detection - Bayesian approach Sequential change-point detection - Non-Bayesian approaches Multichart change-point detection procedures for composite hypotheses and multipopulation models Sequential change-point detection and isolation Applications Selected applications
๐ SIMILAR VOLUMES
Sequential hypothesis testing in multiple data streams -- Sequential detection of changes : changepoint models, performance metrics and optimality criteria -- Bayesian quickest change detection in a single population -- Nearly optimal pointwise and minimax change detection in a single population --
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