Minimax A- and D-optimal integer-valued wavelet designs for estimation
نویسنده
چکیده
Abstract: The author discusses integer-valued designs for wavelet estimation of nonparametric response curves in the possible presence of heteroscedastic noise using a modified wavelet version of the Gasser– Müller kernel estimator or weighted least squares estimation. The designs are constructed using a minimax treatment and the simulated annealing algorithm. The author presents designs for three case studies in experiments for investigating Gompertz’s theory on mortality rates, nitrite utilization in bush beans and the impact of crash helmets in motorcycle accidents.
منابع مشابه
Minimax A- and D-optimal Integer-Valued Wavelet Designs for Estimation Abbreviated title: Minimax A- and D-optimal Wavelet Designs
In this study we discuss integer-valued designs for wavelet estimation of nonparametric response curves in the possible presence of heteroscedastic noise based on a modi ̄ed wavelet version of the Gasser-MÄ uller kernel estimator and weighted least squares estimation. The Gasser-MÄ uller estimator was modi ̄ed in order to obtain an exact expression for the bias of the estimator. We ̄rst use data s...
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تاریخ انتشار 2002