Optimal designs for nonparametric estimation of zeros of regression functions

Zdeněk Hlávka

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.

Full Text:

PDF


DOI: https://doi.org/10.2478/tatra.v51i1.148