Description: Applied Time Series Analysis with R, Hardcover by Woodward, Wayne A.; Gray, Henry L.; Elliott, Alan C., ISBN 1498734227, ISBN-13 9781498734226, Brand New, Free shipping in the US This book explains introductory time series analysis, presenting models and methods with examples, as well as features of realizations from various models and the use and interpretation of results based on the models. It covers stationary time series, linear filters, ARMA models, other stationary time series models, nonstationary time series models, forecasting, parameter estimation, model identification, model building, vector-valued time series, long-memory processes, wavelets, and g-stationary processes. This edition includes additional real-data examples and uses R-based code to help students analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies. Annotation ©2017 Ringgold, Inc., Portland, OR ()
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Book Title: Applied Time Series Analysis with R
Number of Pages: 618 Pages
Publication Name: Applied Time Series Analysis with R
Language: English
Publisher: CRC Press LLC
Publication Year: 2016
Subject: Programming Languages / General, Probability & Statistics / General, Probability & Statistics / Time Series
Item Height: 1.6 in
Item Weight: 38 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Alan C. Elliott, Wayne A. Woodward, Henry L. Gray
Item Length: 9.5 in
Item Width: 6.4 in
Format: Hardcover
