Decomposition - Maple Help
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TimeSeriesAnalysis

  

Decomposition

  

decompose a time series into level, residuals, and potentially trend and seasonal components

 

Calling Sequence

Parameters

Description

Examples

References

Compatibility

Calling Sequence

Decomposition(model, ts, extraparameters)

Parameters

model

-

Exponential smoothing model

ts

-

Time series consisting of a single data set

extraparameters

-

(optional) table of parameter values

Description

• 

The Decomposition command takes a time series and decomposes it according to an exponential smoothing model.

• 

It returns a time series with two, three, or four data sets in it: one for the level, one for the residuals, if the model has a trend component then one data set for the trends, and if the model has a seasonal component then a data set for the seasonal component.

Examples

Consider the following time series. It represents international tourist visitor nights in Australia.

(1)

Fit an exponential smoothing model to it.

(2)

Create the decomposition. Since this is a model with both trend and seasonal components, you get four data sets.

(3)

Since the error and seasonal components are multiplicative, it makes sense to display them together. The trend and level components are displayed separately.



References

  

Hyndman, R.J. and Athanasopoulos, G. (2013) Forecasting: principles and practice. http://otexts.org/fpp/. Accessed on 2013-10-09.

  

Hyndman, R.J., Koehler, A.B., Ord, J.K., and Snyder, R.D. (2008) Forecasting with Exponential Smoothing: The State Space Approach. Springer Series in Statistics. Springer-Verlag Berlin Heidelberg.

Compatibility

• 

The TimeSeriesAnalysis[Decomposition] command was introduced in Maple 18.

• 

For more information on Maple 18 changes, see Updates in Maple 18.

See Also

TimeSeriesAnalysis

 


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