Time Series Analysis with Applications in R (Cryer)
Table of Contents
Chapter 1: Introduction
Chapter 2: Fundamental Concepts
Chapter 3: Trends
Chapter 4: Models For Stationary Time Series
Chapter 5: Models For Nonstationary Time Series
Chapter 6: Model Specification
Chapter 7: Parameter Estimation
Chapter 8: Model Diagnostics
Chapter 9: Forecasting
Chapter 10: Seasonal Models
Chapter 11: Time Series Regression Models
Chapter 12: Time Series Models Of Heteroscedasticity
Chapter 13: Introduction To Spectral Analysis
Chapter 14: Estimating The Spectrum
Chapter 15: Threshold Models
Chapter 16 Appendix: An Introduction to R
Dataset Information
Bibliography
Index