A Discrete Haar Wavelet Based Approach for Visualizing Error Regarding a Simulated Time Series
Abstract
Point-wise error between a time series and its
simulated series is not a stronger technique in data analysis.
However, extending this point-wise error into a decomposition of
two different qualitative values is addressed here. The
decomposition is facilitated by discrete Haar wavelet. Ultimately,
a spectrum has been designed to illustrate the error allowing
localized analysis and interpretations too.
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