Stephen A. DeLurgio, Irwin/McGraw-Hill 1998
This is a reasonably comprehensive introductory book on forecasting. It comes with a disk containing 250 time series and 35 spreadsheet templates for "hands-on" experience of various forecasting methods.
There are six major sections:
Foundations of Forecasting (Introduction, Statistics, and Regression Analysis);
Univariate Methods (Smoothing, Decomposition, Holt-Winters, and Fourier Series);
Univariate ARIMA Methods;
Multivariate Methods (Multiple Regression, Econometrics, Intervention Models, Transfer Function Models);
Cyclical, Qualitative, and Artificial Intelligence Methods (including technological and neural network forecasting methods);
Validation and Managerial Issues (combining forecasts, validation and control, comparing and selecting methods).
The major omission for a comprehensive text is methods for new product forecasting - such as diffusion models and discrete choice models.
This is a good teaching and reference text. It possibly emphasizes a process for forecasting at the expense of discovery and insight into market behaviour which is also an essential ingredient for accurate forecasting.