Forecasting Principles and Applications

This text aims to offer a modern, comprehensive survey of the principles and applications of forecasting in the world of commerce. It includes the theory necessary for a statistics course, as well as examples, applications and cases drawn from a variety of sources. Modern theories such as state space, bootstrapping, Box-Jenkins, ARIMA intervention analysis and modern data analytic techniques are covered and a data disk with a forecasting program is included. The text gives comprehensive coverage of methods of forecasting, presenting real data sets, cases and problems. Boxed real applications are provided and the data disk contains a time series database with 300 actual time series included. Continuing minicases illustrate actual time series applications in an integrative forecasting process format, with a summary table providing an overall perspective of the forecasting process.