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By
Peter Young (editor),
Richard L. Smith (editor),
William John Fitzgerald (editor) and
A. T. Walden (editor)
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Cambridge Univ Pr
Publication date
March 1, 2001
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780521800440
ISBN-10
0521800447
Dimensions
1.25 by 7.50 by 10.25 in.
Weight
3 lbs.
Availability§
Out of Print
Published in
Great Britain
Original list price
$212.00
Other format details
university press
§As reported by publisher
Summaries and Reviews
(view table of contents)
Amazon.com description: Product Description: Most currently employed methods that are used in various fields of data analysis, such as signal processing and time series analysis, are based on rather simplistic assumptions about the linearity and stationarity of the underlying processes, and are hence suboptimal in many situations. The chapters in this book introduce modern methods that have been developed in the fields of statistics, engineering, environmental science and finance, to address these shortcomings. The authors present state-of-the-art statistical methods, and discuss their applications in real-world situations. This volume provides a coherent and unique account of this active and important area.
Editions
Hardcover
The price comparison is for this edition
from Cambridge Univ Pr (March 1, 2001)
9780521800440 | details & prices | 7.50 × 10.25 × 1.25 in. | 3.00 lbs | List price $212.00
About: Most currently employed methods that are used in various fields of data analysis, such as signal processing and time series analysis, are based on rather simplistic assumptions about the linearity and stationarity of the underlying processes, and are hence suboptimal in many situations.
About: Most currently employed methods that are used in various fields of data analysis, such as signal processing and time series analysis, are based on rather simplistic assumptions about the linearity and stationarity of the underlying processes, and are hence suboptimal in many situations.
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