The M-estimation method is used to define the unrestricted test, restricted test and pre-test test (PTT) for testing the intercept vector of a multivariate simple regression model when it is a priori suspected that the slope vector has some specified values. The asymptotic distribution of the test statistics and the asymptotic power functions of the proposed M-tests are derived. Performances of the M-tests are compared both analytically and graphically. The analytical results as well as an illustrative simulation study to compare the size and power of the M-tests reveal a reasonable dominance of the PTT over the other two tests
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
A score type test based on the M-estimation method for a linear regression model is more reliable th...
The M-estimation method is used to define the unrestricted test, restricted test and pre-test test (...
Robust test procedures are developed for testing the intercept of a simple regression model when the...
In this paper, we define (i) unrestricted (UT), (ii) restricted (RT) and (iii) pre-test (PTT) tests ...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
Robust test procedures are developed for testing the intercept of a simple regression model when the...
In the multivariate nonlinear regression model, parameter estimators and test statistics based on le...
In simple regression analyses, the inference on the intercept depends on the knowledge of the slope....
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
A score type test based on the M-estimation method for a linear regression model is more reliable th...
The M-estimation method is used to define the unrestricted test, restricted test and pre-test test (...
Robust test procedures are developed for testing the intercept of a simple regression model when the...
In this paper, we define (i) unrestricted (UT), (ii) restricted (RT) and (iii) pre-test (PTT) tests ...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
The idea of improving the properties of estimators by pre-testing the uncertain non-sample prior inf...
Robust test procedures are developed for testing the intercept of a simple regression model when the...
In the multivariate nonlinear regression model, parameter estimators and test statistics based on le...
In simple regression analyses, the inference on the intercept depends on the knowledge of the slope....
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
This paper proposes a straightforward, easy to implement approximate F-test which is useful for test...
A score type test based on the M-estimation method for a linear regression model is more reliable th...