Showing 1 - 10 of 94
Imagine we have two different samples and are interested in doing semi- or non-parametric regression analysis in each of them, possibly on the same model. In this paper, we consider the problem of testing whether a specific covariate has different impacts on the regression curve in these two...
Persistent link: https://www.econbiz.de/10005285149
Imagine we have two different samples and are interested in doing semi- or nonparametric regression analysis in each of them, possibly on the same econometric model. In this article we consider the problem of testing whether a specific covariate has different impacts on the regression curve in...
Persistent link: https://www.econbiz.de/10009295183
Persistent link: https://www.econbiz.de/10010728483
We propose a new test for the comparison of two regression curves, which is based on a difference of two marked empirical processes based on residuals. The large sample behaviour of the corresponding statistic is studied to provide a full nonparametric comparison of regression curves. In...
Persistent link: https://www.econbiz.de/10010955426
Persistent link: https://www.econbiz.de/10010955455
Persistent link: https://www.econbiz.de/10010955497
In the problem of testing the equality of k regression curves from independent samples we discuss three methods using nonparametric estimation techniques of the regression function. The first test is based on a linear combination of estimators for the integrated variance function in the...
Persistent link: https://www.econbiz.de/10010955502
We suggest a new consistent asymptotically distribution-free test for independence of the components of bivariate random variables. The approach combines methods of order-selection tests with nonparametric copula density estimation. We deduce the asymptotic distribution of the test statistic and...
Persistent link: https://www.econbiz.de/10010994260
The aim of this paper is to prove the validity of smooth residual bootstrap versions of procedures that are based on the empirical process of residuals estimated from a non-parametric regression model. From this result, consistency of various model tests in non-parametric regression is deduced,...
Persistent link: https://www.econbiz.de/10004992405
We propose a new test for independence of error and covariate in a nonparametric regression model. The test statistic is based on a kernel estimator for the L2-distance between the conditional distribution and the unconditional distribution of the covariates. In contrast to tests so far...
Persistent link: https://www.econbiz.de/10005006428