This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test
Bootstrap tests are tests for which the signicance level is calculated by some sort of bootstrap pro...
The paper investigates how the particular choice of residuals used in a bootstrap-based testing proc...
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several...
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The...
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The ...
Abstract This paper concerns statistical tests for simple structures such as parametric models, lowe...
This paper concerns statistical tests for simple structures such as parametric models, lower order m...
The construction of bootstrap hypothesis tests can differ from that of bootstrap confidence interval...
Resampling methods such as the bootstrap are routinely used to esti- mate the ¯nite-sample null dist...
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonn...
In this paper we investigate several tests for the hypothesis of a parametric form of the error dist...
Despite an abundance of semiparametric estimators of the transformation model, no procedure has been...
This paper proposes a test for selecting explanatory variables in nonparametric regression. The test...
We discuss the use of bootstrap methodology in hypothesis testing, focusing on the classical F-test ...
Abstract _ We discuss the use of bootstrap methodology in hypothesis testing, focusing on the classi...
Bootstrap tests are tests for which the signicance level is calculated by some sort of bootstrap pro...
The paper investigates how the particular choice of residuals used in a bootstrap-based testing proc...
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several...
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The...
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The ...
Abstract This paper concerns statistical tests for simple structures such as parametric models, lowe...
This paper concerns statistical tests for simple structures such as parametric models, lower order m...
The construction of bootstrap hypothesis tests can differ from that of bootstrap confidence interval...
Resampling methods such as the bootstrap are routinely used to esti- mate the ¯nite-sample null dist...
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonn...
In this paper we investigate several tests for the hypothesis of a parametric form of the error dist...
Despite an abundance of semiparametric estimators of the transformation model, no procedure has been...
This paper proposes a test for selecting explanatory variables in nonparametric regression. The test...
We discuss the use of bootstrap methodology in hypothesis testing, focusing on the classical F-test ...
Abstract _ We discuss the use of bootstrap methodology in hypothesis testing, focusing on the classi...
Bootstrap tests are tests for which the signicance level is calculated by some sort of bootstrap pro...
The paper investigates how the particular choice of residuals used in a bootstrap-based testing proc...
This paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several...
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