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:
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:
Publication date: 2013
Publisher: Martino Fine Books
Format: Paperback 174 pages

Summary

Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications (ISBN-13: 9781614275176 and ISBN-10: 1614275173), written by authors , was published by Martino Fine Books in 2013. With an overall rating of 4.5 stars, it's a notable title among other Information Theory (Computer Science) books. You can easily purchase or rent Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications (Paperback) from BooksRun, along with many other new and used Information Theory books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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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