Time Series Analysis: With Applications in R
Published 17 November 2010
Jonathan D. Cryer, Kung‐Sik Chan
Citations693
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TL;DR
Fundamental Concepts, Trends, and Models For Stationary Time Series, and Time Series Models Of Heteroscedasticity are presented.
Abstract
Fundamental Concepts.- Trends.- Models For Stationary Time Series.- Models For Nonstationary Time Series.- Model Specification.- Parameter Estimation.- Model Diagnostics.- Forecasting.- Seasonal Models.- Time Series Regression Models.- Time Series Models Of Heteroscedasticity.- To Spectral Analysis.- Estimating The Spectrum.- Threshold Models.
Keywords
ChemistryComputer ScienceEngineering
