Skip Navigation Linkssca

​​​​​軟體資訊>統計分析軟體​​

​ ​

SCA 時間序列軟體​

sca_logo.jpg ​​​​​

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 的統計系統是一可用於商業、工業的強大時間序列預測軟體。

它包求自動化程度高的綜合應用系統建模環境和一套完整的識別和診斷工具,以方便用戶控制建模。

SCA 系統解決了單一系列的單因素模型以及多變量模型。使用高度可靠的系統方法,生成簡約的時間序列模型有利於可靠和準確的預測。 

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。

sca_UI01.jpg

------------------------------------------------------------------------------------------------------------------------------

​​