The SCA Statistical System is a methodologically advanced software system that provides comprehensive capabilities for business and industrial forecasting applications.
It includes a sophisticated expert system modeling environment for integrated applications that require a high degree of automation. It also includes a complete set of identification and diagnostic tools to facilitate user-directed modeling.
SCA's expert system addresses single series univariate models as well as multivariate models. Using a sophisticated and highly robust expert system approach, the SCA System derives parsimonious models that facilitate reliable and accurate forecasting.
The SCA System also provides advanced outlier detection and adjustment capabilities that allows for the joint estimation of outlier effects and model parameters. Using this advanced feature of the SCA System, the model parameters are automatically desensitized from structural changes in the data (e.g., abnormal pulses, temporary changes, and level shifts).
In addition, SCA's outlier handling capabilities are extended into forecasting. Through this state-of-the art procedure, forecasts are desensitized from the effect of outliers. If outliers are not handled appropriately, especially near the forecasting origin, the impact of anomolous data can be severly detrimental to forecasting accuracy and reliability.
It is recognized that the forecasting process is more than the calculation of forecast values. In a era of change and uncertainty, knowledge of system structure and the interplay of variables is important. Quantitative forecasting methods, such as those provided by SCA, are invaluable in providing such knowledge.
To facilitate quantitative forecasting, SCA provides a myriad of forecasting and modeling methods to address any business application where forecasting accuracy is of paramount importance.
SCA 系統還提供了先進的異常檢測和調整功能，允許對異常效應和模型參數的聯合估計。使用 SCA 系統的這一高級功能，模型參數會自動從複雜的結構簡化成清楚的數據 (例如，異常脈衝，臨時改變，和電平轉換)。
為了便於定量的預測，SCA 提供的預測和建模方法無數，可以解決任何企業應用程序，其中預測的準確性也是 SCA 做得最好的部分。