Introduction to time series analysis and forecasting
Montgomery, Jennings, and Kulahci examine methods for modeling and analyzing time series data with a view towards drawing inferences about the data and generating forecasts that will be useful to the decision maker
1 online resource (xi, 445 pages) : illustrations
9781118625835, 9781118211502, 1118625838, 1118211502
892911391
Introduction to forecasting
Statistics background for forecasting
Regression analysis and forecasting
Exponential smoothing methods
Autoregressive integrated moving average (ARIMA) models
Transfer functions and intervention models
Survey of other forecasting methods
Appendix A. Statistical tables
Appendix B. Data sets for exercises