The authors stick to the basics in describing the process of observing moving objects when the observations are corrupted by random errors, filtering out the errors and extracting the most precise information possible, and then predicting the future path of the object from past behavior. They do so as accessibly as possible without significantly reducing rigor, giving students a solid background in such prerequisites for studying filtering and prediction as series, probability concepts and conditioning in the discrete case. With plenty of examples and exercises, they cover Markov chains, filtering of discrete Markov chains, conditional expectations, filtering of continuous-space Markov chains, Wiener process and continuous time filtering, stationary sequences and prediction of stationary sequences. The result is a handy guide not only for students but for nonspecialist professionals or those who need to review basic concepts. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)
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Zustand: Fair. Volume 38. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9780821843338. Bestandsnummer des Verkäufers 3993112
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Zustand: New. Filtering and prediction is about observing moving objects when the observations are corrupted by random errors. This title includes chapters that deal with discrete probability spaces, random variables, conditioning, Markov chains, and filtering of discrete Markov chains. It also discusses filtering and prediction of stationary sequences. Series: Student Mathematical Library. Num Pages: 252 pages. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 216 x 138 x 14. Weight in Grams: 314. . 2007. Paperback. . . . . Bestandsnummer des Verkäufers V9780821843338
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Zustand: New. Filtering and prediction is about observing moving objects when the observations are corrupted by random errors. This title includes chapters that deal with discrete probability spaces, random variables, conditioning, Markov chains, and filtering of discrete Markov chains. It also discusses filtering and prediction of stationary sequences. Series: Student Mathematical Library. Num Pages: 252 pages. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 216 x 138 x 14. Weight in Grams: 314. . 2007. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9780821843338
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