ABSTRACT
The APL Forecasting System is an interactive modelsolving program system that uses the time series analysis methods developed by Box and Jenkins. The system offers the user a procedure for identifying, estimating, and diagnosing models for time series analysis. It handles both stochastic models and multivariate transfer models. Forecasting programs that operate on the estimates from the estimation programs, and on parameters input by the user, complete the package.
- 1.G. E. P. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, Holden-Day, San Francisco, 1970. Google ScholarDigital Library
- 2.Donald W. Marquardt, "An Algorithm for Leastsquares Estimation of Nonlinear Parameters," Soc, Indust. Appl. Math., 11(June 1963).Google Scholar
Index Terms
- APL forecasting system
Recommendations
An integrated fuzzy time series forecasting system
A number of fuzzy time series models have been designed and developed during the last decade. One problem of these models is that they only provide a single-point forecasted value just like the output of the crisp time series methods. In addition, these ...
Rule-Based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations
This paper examines the feasibility of rule-based forecasting, a procedure that applies forecasting expertise and domain knowledge to produce forecasts according to features of the data. We developed a rule base to make annual extrapolation forecasts ...
Comments