Analysis of Time Series

Regular price €217.00
A01=Chris Chatfield
A01=Haipeng Xing
Adjusted Closing Prices
AR Process
ARIMA Model
ARIMA modelling
ARMA Model
Author_Chris Chatfield
Author_Haipeng Xing
Backward Shift Operator
Box Jenkins Approach
Category=KCH
Category=PBT
Daily Return Series
Deseasonalized Series
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Exponential Smoothing
Fit ARIMA Model
Frequency Response Function
GARCH Model
high dimensional
high frequency
IBM Stock
IGARCH Model
Impulse Response Function
Kalman filter
Kalman filter techniques
Ljung Box Test
Ma Process
MMSE Forecast
multivariate
multivariate forecasting methods
nonlinear time series modelling
Power Spectral Density Function
spectral analysis
spectral density estimation
Spectral Density Function
Spectral Distribution Function
Standard Time Series Methods
State Space Models
state-space approach
volatility models
volatility time series
Yule Walker Equations

Product details

  • ISBN 9781138066137
  • Weight: 725g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 May 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Chris Chatfield is a retired Reader in Statistics at the University of Bath, UK, the author of five books and numerous research papers, and an elected Honorary Fellow of the International Institute of Forecasters.

Haipeng Xing is an associate professor in Applied Mathematics and Statistics at the State University of New York, Stony Brook, USA, the author of two books and numerous research papers. His research interests include quantitative finance and risk management, econometrics, applied stochastic control, and sequential statistical methodology.