Library of American University of Madaba
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Moulin, Pierre, 1963-
Statistical inference for engineers and data scientists / Pierre Moulin, Venugopal V. Veeravalli - Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019. - xxi, 399 p. ; 26 cm.
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
"Statistical Inference for Engineers and Data Scientists A mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals"--
9781107185920 1107185920
Mathematical statistics.
Engineering--Statistical methods.
Quantitative research.
QA276 / .M73 2019
519.54 / M926
Statistical inference for engineers and data scientists / Pierre Moulin, Venugopal V. Veeravalli - Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019. - xxi, 399 p. ; 26 cm.
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
"Statistical Inference for Engineers and Data Scientists A mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals"--
9781107185920 1107185920
Mathematical statistics.
Engineering--Statistical methods.
Quantitative research.
QA276 / .M73 2019
519.54 / M926