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Society for Industrial and Applied Mathematics (SIAM) Time Series: Data Analysis and Theory: Series Number 36 (Classics in Applied Mathematics, Series Number 36)

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£65.79 £62.72 £63.39 £64.06 £64.73 £65.40 £66.07 23 March 2026 12 April 2026 03 May 2026 24 May 2026 14 June 2026

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Description

Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It provides a broad collection of theorems, placing the techniques on firm theoretical ground. The techniques, which are illustrated by data analyses, are discussed in both a heuristic and a formal manner, making the book useful for both the applied and the theoretical worker. An extensive set of original exercises is included. Time Series: Data Analysis and Theory takes the Fourier transform of a stretch of time series data as the basic quantity to work with and shows the power of that approach. It considers second- and higher-order parameters and estimates them equally, thereby handling non-Gaussian series and nonlinear systems directly. The included proofs, which are generally short, are based on cumulants.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 September 2001
Listed Since
30 September 2005

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