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) - Books - Taylor & Francis Inc - 9781498757584 - December 2, 2019
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Tartakovsky, Alexander (University of Connecticut, Storrs, USA)
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 1st edition

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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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 2, 2019
ISBN13 9781498757584
Publishers Taylor & Francis Inc
Pages 320
Dimensions 261 × 184 × 21 mm   ·   734 g
Language English  

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