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Nonparametric Bootstrap Estimation for Implicitly Weighted Robust Regression. [PDF]
Implicitly weighted robust regression estimators for linear and nonlinear regression models include linear and nonlinear versions of the least trimmed squares and least weighted squares. After recalling known facts about these estimators, a nonparametric bootstrap procedure is proposed in this paper for estimates of their variances.
Kalina, J. (Jan) +1 more
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Bootstrap confidence bands in nonparametric regression
1994In the present paper we construct asymptotic confidence bands in nonparametric regression. Our assumptions admit unequal variances of the observations and nonuniform, possibly considerably clustered design. The confidence band is based on an undersmoothed local linear estimator, and an appropriate quantile is obtained via the wild bootstrap made ...
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SADDLEPOINT METHODS FOR BOOTSTRAP CONFIDENCE BANDS IN NONPARAMETRIC REGRESSION
Australian Journal of Statistics, 1993SummaryBootstrap techniques have been used to construct confidence bands in nonparametric regression problems (Härdle & Bowman, 1988). Yet the required simulation is generally computationally intensive and therefore makes it difficult to conduct further investigations.
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A Consistent Nonparametric Bootstrap Test of Exogeneity [PDF]
This paper proposes a novel way of testing exogeneity of an explanatory variable without any parametric assumptions in the presence of a "conditional" instrumental variable. A testable implication is derived that if an explanatory variable is endogenous, the conditional distribution of the outcome given the endogenous variable is not independent of its
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Bootstrapping: A Nonparametric Approach to Statistical Inference.
Contemporary Sociology, 1995Tim Futing Liao +3 more
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Simultaneous bootstrap confidence bands in nonparametric regression
Journal of Nonparametric Statistics, 1998Joerg Polzehl, Michael H Neumann
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Nonparametric Bootstrap Statistical Intervals
Wiley Series in Probability and Statistics, 2017Gerald J Hahn, Luis A Escobar
exaly
Bootstrap selection of bandwidth and confidence bands for nonparametric regression
Journal of Statistical Computation and Simulation, 1990Julian Faraway
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Inference by the m out of n bootstrap in nonparametric frontier models
Journal of Productivity Analysis, 2010Paul W Wilson +2 more
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