Description: Analysis of Time Series : An Introduction With R, Paperback by Chatfield, Chris; Xing, Haipeng, ISBN 1498795633, ISBN-13 9781498795630, Brand New, Free shipping in the US This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. Th covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models. It also presents many examples and implementations of time series models and methods to reflect advances in the field. Highlights of the seventh edition: A new chapter on univariate volatility models A revised chapter on linear time series models A new section on multivariate volatility models A new section on regime switching models Many new worked examples, with R code integrated into the text Th can be used as a textbook for an undergraduate or a graduate level time series course in statistics. Th does not assume many prerequisites in probability and statistics, so it is also intended for students and data analysts in engineering, economics, and finance.
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Book Title: Analysis of Time Series : An Introduction With R
Number of Pages: 398 Pages
Publication Name: Analysis of Time Series : an Introduction with R
Language: English
Publisher: CRC Press LLC
Subject: Probability & Statistics / General, Probability & Statistics / Time Series
Item Height: 0.9 in
Publication Year: 2019
Type: Textbook
Item Weight: 22.2 Oz
Item Length: 9.2 in
Author: Haipeng Xing, Chris Chatfield
Subject Area: Mathematics
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
