Browsing by Subject "Smooth function model"
Now showing items 1-3 of 3
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A nonparametric point estimation technique using the m-out-of-n bootstrap
(SASA, 2018)We investigate a method which can be used to improve an existing point estimator by a modification of the estimator and by using the m-out-of-n bootstrap. The estimation method used, known as bootstrap robust aggregating ... -
On a new method for constructing bootstrap confidence bounds
(North-West University (South Africa), Potchefstroom Campus, 2017)It is well-known that the standard methods for constructing bootstrap confidence bounds or intervals are in many situations not sufficiently accurate, that is, coverage probabilities converge to the nominal level at ... -
On the asymptotic theory of new bootstrap confidence bounds
(IMS, 2018)We propose a new method, based on sample splitting, for constructing bootstrap confidence bounds for a parameter appearing in the regular smooth function model. It has been demonstrated in the literature, for example, ...