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