Time Series Analysis and Applications to Geophysical Systems : Part I, Paperb...

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Series: The Ima Volumes in Mathematics and Its Applications Ser. height: 0.2 in Book Title: Time Series Analysis and Applications to Geophysical Systems : Pa Item Width: 6.1 in Item Length: 9.3 in width: 6.1 in Item Weight: 14.9 Oz ISBN: 9781461277354 Author: Peter Caines Item Height: 0.2 in Publisher: Springer New York Number of Pages: Xviii, 389 Pages Format: Trade Paperback Subject: Physics / Geophysics, Probability & Statistics / Time Series, Mathematical Analysis Publication Year: 2011 Publication Name: Time Series Analysis and Applications to Geophysical Systems : Part I Language: English Type: Textbook Subject Area: Mathematics, Science

Description

Time Series Analysis and Applications to Geophysical Systems : Part I, Paperb.... Time Series Analysis and Applications to Geophysical Systems : Part I, Paperback by Brillinger, David (EDT); Caines, Peter (EDT); Geweke, John (EDT); Parzen, Emanuel (EDT); Rosenblatt, Murray (EDT), ISBN 1461277353, ISBN-13 9781461277354, Brand New, Free shipping in the US Part of a two volume set based on a recent IMA program of the same name. The goal of the program and thess is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, thess present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II .