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(Ebook) The Analysis of Time Series: An Introduction with R by Chris Chatfield, Haipeng Xing ISBN 9781138066137, 9781498795630, 1138066133, 1498795633

  • SKU: EBN-10791502
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Authors:Chris Chatfield, Haipeng Xing
Pages:415 pages.
Year:2019
Editon:7
Publisher:Chapman & Hall / CRC Press; Taylor & Francis Group, LLC
Language:english
File Size:3.46 MB
Format:pdf
ISBNS:9781138066137, 9781498795630, 1138066133, 1498795633
Categories: Ebooks

Product desciption

(Ebook) The Analysis of Time Series: An Introduction with R by Chris Chatfield, Haipeng Xing ISBN 9781138066137, 9781498795630, 1138066133, 1498795633

Main subject categories: • Time series analysis • Econometrics • Dynamical systems and ergodic theory • Inference from stochastic processes • Statistics • Game theory, economics, finance, and other social and behavioral sciences

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. The book 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.

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

The book can be used as a textbook for an undergraduate or a graduate level time series course in statistics. The book does not assume many prerequisites in probability and statistics, so it is also intended for students and data analysts in engineering, economics, and finance.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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