Discrete Wavelet Transformation
Threshold Value
Wavelet Shrinkage
Correlated Error
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Abstract
The wavelet shrink estimator is an attractive technique when estimating the nonparametric regression
functions, but it is very sensitive in the case of a correlation in errors. In this research, a polynomial
model of low degree was used for the purpose of addressing the boundary problem in the wavelet
reduction in addition to using flexible threshold values in the case of Correlation in errors as it
deals with those transactions at each level separately, unlike the comprehensive threshold values
that deal with all levels simultaneously, as (Visushrink) methods, (False Discovery Rate) method,
(Improvement Thresholding) and (Sureshrink method), as the study was conducted on real monthly
data represented in the rates of theft crimes f
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