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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) 1.º edición
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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)
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.
301 pages, 12 Tables, black and white; 19 Illustrations, black and white
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 2 de diciembre de 2019 |
| ISBN13 | 9781498757584 |
| Editores | Taylor & Francis Inc |
| Páginas | 320 |
| Dimensiones | 261 × 184 × 21 mm · 734 g |
| Lengua | Inglés |
