Using the wavelet and difference method to estimate the quasi-parametric model

Abstract

The increasing interest in quasi-parametric models in the last 25 years has prompted
researchers to discover more different methods of estimating its linear parameters
as well as the non-parametric part. The use of wavelet transformation in the
statistical field was a new opportunity for researchers to seek new estimates for this
type of model. The quasi-parametric model was estimated using two methods of
estimation, the wavelet technique and the difference method.