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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 Tartakovsky, Alexander (University of Connecticut, Storrs, USA) 1st edition
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
Tartakovsky, Alexander (University of Connecticut, Storrs, USA)
Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades.
320 pages, 19 Illustrations, black and white
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 30, 2021 |
| ISBN13 | 9781032084350 |
| Publishers | Taylor & Francis Ltd |
| Pages | 320 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |