time series chartDo you need to model a process that has a trend or seasonal variation? SPC for Excel contains the following basic time series analysis:

  • Linear
  • Quadratic
  • Exponential Growth
  • Single Exponential Growth
  • Double Exponential Growth
  • Winter's Method
  • Moving Average

 

See What Time Series analysis in SPC for Excel Can Do!

 

 

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Why Use Time Series Analysis in SPC for Excel?

SPC for Excel easily performs time series analysis using one of the above techniques. A time series is a series of data points in time order, taken at successive equally spaced points in time, such as daily, yearly, etc. A time series is plotted over time as a run chart.  There are potentially three components in a time series analysis: level, trend and seasonal.

  • One use of time series analysis is to forecast future values based on history.
  • Another objective is to find patterns in the data that can be used to extrapolate those patterns into the future.

Get These Time Series Analysis Features

  • Compare models using mean absolute percentage error (MAPE), mean absolute deviation (MAD), or mean squared deviation (MSD)
  • Forecast future points
  • Includes prediction limits for future points
  • Enter values for level, trend or forecast weights or let SPC for Excel find them by minimizing the error

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