Zaitun Time Series provides several statistics and neural networks models, and graphical tools that will make your work on time series analysis easier.

• Statistics dan Neural Networks Analysis
  • Trend Analysis. Zaitun Time Series provides a feature to analyze trend component of a time series data. There are several trend types available e.g. linear trend, quadratic trend, cubic trend, and exponential trend.
  • Decomposition. Zaitun Time Series provides a feature to perform decomposition analysis of a time series data.
  • Moving Average. Zaitun Time Series provides feature to perform moving average analysis of a time series data. Single moving average analysis and double moving average analysis are available.
  • Exponential Smoothing. Zaitun Time Series provides a feature to perform exponential smoothing analysis of a time series data, includes single exponential smoothing, double exponential smoothing Brown, double exponential smoothing Holt, and triple exponential smoothing Winter.
  • Correlogram. Zaitun Time Series provides a feature to display autocorrelation function (ACF) value and graphic of a time series data.
  • Neural Networks. Zaitun Time Series provides a feature to perform neural network modeling of a time series data.
• Graphical Tools
  • Time Series Plot. show line plot of a variable
  • Actual and Predicted Plot. show line plot for actual and predicted values of model.
  • Actual and Forecasted Plot. show line plot for actual and forecasted values of model.
  • Actual vs Predicted Plot. show scatter plot between actual and predicted values.
  • Residual Plot. shows line plot for residual values of model.
  • Residual vs Actual Plot. show scatter plot between residual and actual values.
  • Residual vs Predicted Plot. show scatter plot between residual and predicted values.

Online Documentation

More information about Zaitun Time Series features can be found in Zaitun Time Series Online Documentation.