Showing 1 - 10 of 434
In this paper we investigate several tests for the hypothesis of a parametric form of the error distribution in the common linear and nonparametric regression model, which are based on empirical processes of residuals. It is well known that tests in this context are not asymptotically...
Persistent link: https://www.econbiz.de/10010296621
In the classical linear regression model the problem of testing for symmetry of the error distribution is considered. The test statistic is a functional of the difference between the two empirical distribution functions of the estimated residuals and their counterparts with opposite signs. The...
Persistent link: https://www.econbiz.de/10010306280
In this paper we investigate several tests for the hypothesis of a parametric form of the error distribution in the common linear and nonparametric regression model, which are based on empirical processes of residuals. It is well known that tests in this context are not asymptotically...
Persistent link: https://www.econbiz.de/10009219820
In the classical linear regression model the problem of testing for symmetry of the error distribution is considered. The test statistic is a functional of the difference between the two empirical distribution functions of the estimated residuals and their counterparts with opposite signs. The...
Persistent link: https://www.econbiz.de/10009295174
Persistent link: https://www.econbiz.de/10001813567
Persistent link: https://www.econbiz.de/10002141512
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method. The weak convergence of the resulting new estimator to a...
Persistent link: https://www.econbiz.de/10010296709
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method. The weak convergence of the resulting new estimator to a...
Persistent link: https://www.econbiz.de/10009216968
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method. The weak convergence of the resulting new estimator to a...
Persistent link: https://www.econbiz.de/10003358258
Persistent link: https://www.econbiz.de/10010316450