Models for Time Series
Peter Congdon · Wiley series in probability and statistics · 2003
This chapter contains sections titled: Introduction Autoregressive and Moving Average Models under Stationarity and Non-stationarity Discrete Outcomes Error Correction Models Dynamic Linear Models and Time Varying Coefficients Stochastic Variances and Stochastic Volatility Modelling Structural Shifts Review References Exercises