Time Series Analysis and Applications to Geophysical Systems - Part I (Paperback, Softcover reprint of the original 1st ed. 2004)

Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The IMA Volumes in Mathematics and its Applications, 45
Release date:	September 2011
First published:	2004
Editors:	David Brillinger • Peter Caines • John Geweke • Emanuel Parzen • Murray Rosenblatt • Murad S Taqqu
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	389
Edition:	Softcover reprint of the original 1st ed. 2004
ISBN-13:	978-1-4612-7735-4
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
LSN:	1-4612-7735-3
Barcode:	9781461277354

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!