Add to ORKGIn this article, we have considered the problem of testing equality of several growth curves under Behrens-Fisher situation. In this context, the robustness of the existing test criteria have been studied. Also, some exact test procedures have been considered and the exact and asymptotic noncentral distribution problems have been studied.Growth curve Behrens-Fisher problem robustness Hotelling's T2 Lawley-Hotelling's exact noncentral distribution asymptotic expansion
This note demonstrates a way of testing the relevance of a von Bertalanffy (1938) growth model when ...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
AbstractA sequential test for the Behrens-Fisher problem is considered in this paper. A sequential p...
AbstractIn this article, we have considered the problem of testing equality of several growth curves...
A brief survey of the recent literature leads to the conclusion that approximately similar tests for...
For the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313-326), va...
AbstractFor the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313–...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
A nonparametric test for the Behrens-Fisher problem that is an extension of a test proposed by Flign...
The problem of testing the equality of two normal means when variances are not known is called the B...
The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two n...
When testing the equality of the means from two independent normally distributed populations given t...
In this work we are concerned with the problem of testing the equality of the means from the two pop...
An exact solution is given for the Behrens-Fisher distribution under the independent normal model. T...
A test proposed by Seid Hamid & von Rosen (2005b) is considered. The critical point is calculate...
This note demonstrates a way of testing the relevance of a von Bertalanffy (1938) growth model when ...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
AbstractA sequential test for the Behrens-Fisher problem is considered in this paper. A sequential p...
AbstractIn this article, we have considered the problem of testing equality of several growth curves...
A brief survey of the recent literature leads to the conclusion that approximately similar tests for...
For the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313-326), va...
AbstractFor the linear growth curve model introduced by Potthoff and Roy (Biometrika 51 (1964), 313–...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
A nonparametric test for the Behrens-Fisher problem that is an extension of a test proposed by Flign...
The problem of testing the equality of two normal means when variances are not known is called the B...
The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two n...
When testing the equality of the means from two independent normally distributed populations given t...
In this work we are concerned with the problem of testing the equality of the means from the two pop...
An exact solution is given for the Behrens-Fisher distribution under the independent normal model. T...
A test proposed by Seid Hamid & von Rosen (2005b) is considered. The critical point is calculate...
This note demonstrates a way of testing the relevance of a von Bertalanffy (1938) growth model when ...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
AbstractA sequential test for the Behrens-Fisher problem is considered in this paper. A sequential p...