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Wavelet Based Estimation of the Derivatives of a Density for m-Dependent Random Variables

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Here, we propose a method of estimation of the derivatives of probability density based wavelets methods for a sequence of m-dependent random variables with a common one-dimensional probability density function and obtain an upper bound on Lp-Iosses for the such estimators.

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