Table of Contents

Introduction
Simple Descriptive Techniques
Probability Models for Time Series
Estimation in the Time Domain
Forecasting
Stationary Processes in the Frequency Domain
Spectral Analysis
Bivariate Processes
Linear Systems
State-Space Models and the Kalman Filter
Non-Linear Models
Multivariate Time-Series Modelling
Some Other Topics
Appendices
The Fourier, Laplace, and Z Transforms
The Dirac Delta Function
Covariance
Some Worked Examples