Wavelets for Nonparametric Stochastic Regression with Pairwise Negative Quadrant Dependent Random Variables
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Abstract:
We propose a wavelet based stochastic regression function estimator for the estimation of the regression function for a sequence of pairwise negative quadrant dependent random variables with a common one-dimensional probability density function. Some asymptotic properties of the proposed estimator are investigated. It is found that the estimators have similar properties to their counterparts studied earlier in literature.
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Journal title
volume 16 issue 3
pages -
publication date 2005-09-01
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