Computer application techniques are applied to routine short-term forecasting and prediction in this classic of operations research. The text begins with a cons

This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical ap

Exponential smoothing methods have been around since the 1950s, and are still the most popular forecasting methods used in business and industry. However, a mod

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting:

This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication techn