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Time Series Analysis (Chapman & Hall/Crc Texts in Statistical Science Series) by Henrik Madsen is a nonfiction available to read on EtoBox.

What is Time Series Analysis (Chapman & Hall/Crc Texts in Statistical Science Series) about?

Features Describes both linear systems and linear time series, linking systems theory with time series theory Explores static and dynamic models to show the differences between model types Examines the significant topics of ARMA and ARIMA processes, the autocovariance function, and the Kalman filter Includes numerous real-world examples from economics, physics, and engineering as well as several exercises at the end of most chapters Provides a web page with computer-based exercises and a complete collection of slides With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the author presents theorems to highlight the most important results, proofs to clarify some results, and problems to illustrate the use of the results for modeling real-life phenomena. The book first provides the formulas and methods needed to adapt a second-order approach for characterizing random variables as well as introduces regression methods and models, including the general

Who reads Time Series Analysis (Chapman & Hall/Crc Texts in Statistical Science Series)?

Author

Henrik Madsen

Publisher

Chapman and Hall/CRC

Published

2007

Language

EN

ISBN

9781420059687

Category

nonfiction

Subjects

Mathematics, Stem