9781614275176-1614275173-Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications

Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications

ISBN-13: 9781614275176
ISBN-10: 1614275173
Edition: Illustrated
Author: Wiener, Norbert
Publication date: 2013
Publisher: Martino Fine Books
Format: Paperback 174 pages
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Book details

ISBN-13: 9781614275176
ISBN-10: 1614275173
Edition: Illustrated
Author: Wiener, Norbert
Publication date: 2013
Publisher: Martino Fine Books
Format: Paperback 174 pages

Summary

Acknowledged authors Wiener, Norbert wrote Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications comprising 174 pages back in 2013. Textbook and eTextbook are published under ISBN 1614275173 and 9781614275176. Since then Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

2013 Reprint of 1949 Edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. This is the second book by Norbert Wiener on time series and communication engineering. While the first one, "Cybernetics", treated the subject from a general standpoint and was more philosophical than mathematical, the present volume is more technical than theoretical, and forms a kind of companion piece to the first. It is intended as a tool for engineers working in the field of electrical communication and related subjects. The book consists of an introduction, five chapters, and three appendices. After explaining the general outline of the problem in the introduction, the author gives in Chapter I a review of generalized harmonic analysis which is necessary for the understanding of the following chapters. Chapters II and III are devoted to the problems of prediction and filtering respectively. In Chapter IV there is given a brief account of the theory of multiple prediction, that is, the theory of prediction when we deal with more than one time series at the same time. Finally, in Chapter V there is given a short discussion on the application of similar methods to a problem of approximate differentiation.

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