Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/29552 
Year of Publication: 
2009
Series/Report no.: 
IWQW Discussion Papers No. 12/2009
Publisher: 
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institut für Wirtschaftspolitik und Quantitative Wirtschaftsforschung (IWQW), Nürnberg
Abstract: 
The scaling function from multiresolution analysis can be used to constuct a smoothing tool in the context of time series analysis. We give a time series smoothing function for which we show the properties of a quasilinear moving average. Furthermore; we discuss its features and especially derive the distributional properties of our quasilinear moving average given some simple underlying stochastic processes. Eventually we compare it to existing smoothing methods in order to motivate its application
Subjects: 
Scaling function
Quasilinear moving average
Influence function
Document Type: 
Working Paper

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