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Optimal designs for nonparametric estimation of zeros of regression functions

Publication at Faculty of Mathematics and Physics |
2012

Abstract

We investigate nonparametric estimators of zeros of a regression function and its derivatives and we derive the distribution of design points minimizing the expected width of a confidence interval and the expected variance of the proposed estimator.