Confidence bands for regression curves and their first p derivatives are obtained via local pth order polynomial estimation. The method allows for multiparameter local likelihood estimation as well as other unbiased estimating equations. As an alternative to the confidence bands obtained by asymptotic distribution theory, we also study smoothed bootstrap confidence bands. Simulations illustrate the finite sample properties of the methodology
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
Confidence bands for regression curves and their first p derivatives are obtained via local p-th ord...
Confidence bands for regression curves and their first p derivatives are obtained via local p-th ord...
We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregressi...
We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregressi...
Abstract: Asymptotically exact and conservative confidence bands are obtained for non-parametric reg...
Asymptotically exact and conservative confidence bands are obtained for nonparametric re-gression fu...
AbstractIn this paper bootstrap confidence bands are constructed for nonparametric quantile estimate...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
Confidence bands for regression curves and their first p derivatives are obtained via local p-th ord...
Confidence bands for regression curves and their first p derivatives are obtained via local p-th ord...
We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregressi...
We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregressi...
Abstract: Asymptotically exact and conservative confidence bands are obtained for non-parametric reg...
Asymptotically exact and conservative confidence bands are obtained for nonparametric re-gression fu...
AbstractIn this paper bootstrap confidence bands are constructed for nonparametric quantile estimate...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...
The principal response curve (PRC) model is of use to analyse multivariate data resulting from exper...