Optimal designs for nonparametric estimation of zeros of regression functions
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 condence interval and the expected variance of
the proposed estimator.
function and its derivatives and we derive the distribution of design points minimizing
the expected width of a condence interval and the expected variance of
the proposed estimator.
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PDFDOI: https://doi.org/10.2478/tatra.v51i1.148