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Statistical inference for engineers and data scientists / Pierre Moulin (University of Illinois, Urbana-Champaign), Venugopal V. Veeravalli (University of Illinois, Urbana-Champaign)
Material type:
TextPublication details: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019Description: xxi, 399 pages ; 26 cmISBN: - 9781107185920
- QA 276 M68S 2019
Contents:
Introduction -- Binary hypothesis testing -- Multiple hypothesis testing -- Composite hypothesis testing -- Signal detection -- Convex statistical distances -- Performance bounds for hypothesis testing -- Large deviations and error exponents for hypothesis testing -- Sequential and quickest change detection -- Detection of random processes -- Bayesian parameter estimation -- Minimum variance unbiased estimation -- Information Inequality and Cramér-Rao lower bounds -- Maximum likelihood estimation -- Signal estimation
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
General Book
|
SPU Library, Bangkok (Main Campus) | General Books (ENGLISH) | Floor 4: General Shelves (ENGLISH): N | QA 276 M68S 2019 (Browse shelf(Opens below)) | Available | F067963 |
Total holds: 0
Includes bibliographical references and index
Introduction -- Binary hypothesis testing -- Multiple hypothesis testing -- Composite hypothesis testing -- Signal detection -- Convex statistical distances -- Performance bounds for hypothesis testing -- Large deviations and error exponents for hypothesis testing -- Sequential and quickest change detection -- Detection of random processes -- Bayesian parameter estimation -- Minimum variance unbiased estimation -- Information Inequality and Cramér-Rao lower bounds -- Maximum likelihood estimation -- Signal estimation
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