wavelets for nonparametric stochastic regression with pairwise negative quadrant dependent random variables

نویسندگان
چکیده

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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عنوان ژورنال:
journal of sciences islamic republic of iran

جلد ۱۶، شماره ۳، صفحات ۰-۰

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