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Results tagged with intermittent-time-series
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user 3382
Intermittent time series are characterized by "many" zeros and "few" non-zero values. If they describe intermittent demand, they are typically integer-valued.
4
votes
Accepted
How to detect intermittent time series?
Just set a threshold like 30% and if the number of "zeroes" exceeds this threshold then declare it to be an intermittent demand series. For guidelines to deal with "unusual demands" rather than believ …
- 30k
13
votes
Analysis of time series with many zero values
To restate your question “ How does the analyst deal with long periods of no demand that follow no specific pattern?”
The answer to your question is Intermittent Demand Analysis or Sparse Data Analys …
- 30k
4
votes
Accepted
Forecasting models for time series with lots of zero values
The problem you are referring to is called sparse data analysis/intermittent demand analysis.The ACF/PACF is meaningless due to the false correlation induced by consecutive 0's. One earlier method to …
- 30k
1
vote
Weather data in time series predictions
Your problem "So let's say I want to predict number of people on the street or city square at any given moment." is fundamentally no different than Simple method of forecasting number of guests given …
- 30k