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On the contrary, more ARIMA prediction models should be rebuilt to satisfy the error threshold condition.
In other words, an appropriate ARIMA prediction model has been built.
The ordinary sensor node runs automatic ARIMA modeling algorithm to build ARIMA prediction model automatically.
We first presented the ARIMA prediction model and then described how the ARIMA prediction model could be built and applied in data aggregation scheme to decrease the number of transmitted messages within the network.
Then, we fit ARIMA prediction model according to the differenced data series {x1′, x2′, …, x n ′} using least square method.
Only when the error threshold is set too small, many ARIMA prediction models are unfitted and should be rebuilt.
Similar(50)
We relied upon the historical data budget usage behavior of the user applications in our recommendation of future Internet data budget plan following ARIMA-based resource prediction analysis.
Predictable predictions?
We employ two sampling methods in bandwidth collection and adopt the ARIMA model to make the prediction.
ARIMA model used for the prediction of the monthly values of water quality parameters for next 5 years.
River is a natural resource of water, prediction results of ARIMA model indicate the increase in pollution, which is an alarming situation and the preventive measure has to be taken to control the same.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com