ABSTRACT

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.

chapter Chapter 1|13 pages

Introduction

chapter Chapter 2|25 pages

Basic Descriptive Techniques

chapter Chapter 3|51 pages

Some Linear Time Series Models

chapter Chapter 4|37 pages

Fitting Time Series Models in the Time Domain

chapter Chapter 5|34 pages

Forecasting

chapter Chapter 6|17 pages

Stationary Processes in the Frequency Domain

chapter Chapter 7|32 pages

Spectral Analysis

chapter Chapter 8|17 pages

Bivariate Processes

chapter Chapter 9|35 pages

Linear Systems

chapter Chapter 10|14 pages

State-Space Models and the Kalman Filter

chapter Chapter 11|36 pages

Non-Linear Models

chapter Chapter 12|20 pages

Volatility Models

chapter Chapter 13|27 pages

Multivariate Time Series Modelling

chapter Chapter 14|14 pages

Some More Advanced Topics