Based on the author’s own research, this book rigorously and systematically develops the theory of Gaussian white noise
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English Pages 614 [613] Year 1988
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A Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear st
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Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are si
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The description for this book, Stationary Processes and Prediction Theory. (AM-44), Volume 44, will be forthcoming.
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This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and r
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Information geometry provides the mathematical sciences with a new framework of analysis. It has emerged from the invest
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Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a
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