Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis - Info and Reading Options
A Frequency Domain Approach
By György Terdik
"Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis" is published by Springer in July 30, 1999, it has 260 pages and the language of the book is English.
“Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis” Metadata:
- Title: ➤ Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
- Author: György Terdik
- Language: English
- Number of Pages: 260
- Publisher: Springer
- Publish Date: July 30, 1999
“Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis” Subjects and Themes:
- Subjects: ➤ Nonlinear theories - Serie chronologique - Spectrumanalyse - Series chronologiques - Tijdreeksen - Nichtlineare Zeitreihenanalyse - Niet-lineaire theorieen - 31.73 mathematical statistics - Bilineares Zeitreihenmodell - Time-series analysis - Theories non lineaires
Edition Specifications:
- Format: Paperback
- Weight: 12.8 ounces
- Dimensions: 9.2 x 5.9 x 0.7 inches
Edition Identifiers:
- The Open Library ID: OL9464486M - OL9200593W
- Online Computer Library Center (OCLC) ID: 41284973
- Library of Congress Control Number (LCCN): 99023873
- ISBN-13: 9780387988726
- ISBN-10: 0387988726
- All ISBNs: 0387988726 - 9780387988726
AI-generated Review of “Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis”:
Snippets and Summary:
There are several ways to approach Hermite polynomial systems, cumulants and their relationship.
"Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis" Description:
The Open Library:
"The first part of this work presents the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants, higher order spectra, and multiple Wiener - Ito integrals." "The main results concern bilinear processes with Gaussian white noise input, and employ the technique of chaotic representation. Three classes of bilinear processes are considered, the simple bilinear model, the general bilinear model with scalar value, and the multiple bilinear model.". "The book should prove valuable to students interested in nonlinear time series analysis and applications, to research workers is nonlinear stochastic analysis, and to people interested in practical data analysis."--BOOK JACKET.
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