outlier detection

How to Forecast Data Containing Outliers

2021-06-15T16:30:04-04:00April 2nd, 2020|Categories: Forecasting Education|Tags: , |

An outlier is a data point that falls outside of the expected range of the data (i.e., it is an unusually large or small data point). If you ignore outliers in your data, there is a danger that they can have a significant adverse impact on your forecasts. This article surveys three different approaches to [...]

Using Forecast Pro’s Built-in Outlier Detection and Correction

2021-06-15T16:27:25-04:00July 30th, 2014|Categories: Forecasting Education, Using Forecast Pro|Tags: , |

If you are forecasting a time series that contains an outlier, there is a danger that the outlier could have a significant impact on the forecast. One solution to this problem is to screen the historical data for outliers and replace them with more typical values prior to generating the forecasts. This process is referred [...]

Creating Accurate Forecasts When Your Demand History Includes Outliers

2021-06-15T15:37:47-04:00May 28th, 2014|Categories: Forecasting Education|Tags: , , , |

Preparing forecasts using data that contain one or more unusually large or small demand periods can be challenging. Depending on your forecasting approach, these “outliers” can have a significant impact on your forecasts. This article surveys three different approaches to forecasting data containing unusual demand periods, discusses the pros and cons of each and recommends [...]

Identifying Problems in Your Data & Forecasts

2013-11-06T20:27:46-05:00November 6th, 2013|Categories: Forecasting Education|Tags: , , , , |

The recording of our recent educational one-hour Webinar is now available for viewing on-demand http://www.youtube.com/watch?v=k2yt5Cd7fOo Learn about helpful tools that make it easier for you to focus on the specific items that need your attention: Outlier detection for highlighting anomalies in historic data. Exception reports for identifying problems in the forecasts. Item reports for quickly defining [...]