The Behrens—Fisher problem concerns finding an interval estimate for the difference between the means of two normal populations, without making any assumption about the variances. At present, statisticians cannot agree on its solution. In this paper, a credible and sharp solution is described. It is compared with the solutions of Behrens (see Fisher, 1956), Welch (1947) and Wilkinson, Venables and James (1979)
This paper presents the generalized p-values for testing the Behrens-Fisher problem when one varianc...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining ...
The Behrens—Fisher problem concerns finding an interval estimate for the difference between the mean...
An analytical problem, which arises in the statistical problem of comparing the means of two normal ...
This article reexamines the scope of a two-stage methodology for constructing a fixed-width confiden...
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining ...
The problem of testing the equality of two normal means when variances are not known is called the B...
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...
Comparison of the means of two normal populations is a simpler problem when the variance (if unknown...
An exact solution is given for the Behrens-Fisher distribution under the independent normal model. T...
The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two n...
Krishnamoorthy and Yu (2004, Statistics and Probability Letters 66: 161–169) published a new approxi...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
This paper presents the generalized p-values for testing the Behrens-Fisher problem when one varianc...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining ...
The Behrens—Fisher problem concerns finding an interval estimate for the difference between the mean...
An analytical problem, which arises in the statistical problem of comparing the means of two normal ...
This article reexamines the scope of a two-stage methodology for constructing a fixed-width confiden...
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining ...
The problem of testing the equality of two normal means when variances are not known is called the B...
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...
Comparison of the means of two normal populations is a simpler problem when the variance (if unknown...
An exact solution is given for the Behrens-Fisher distribution under the independent normal model. T...
The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two n...
Krishnamoorthy and Yu (2004, Statistics and Probability Letters 66: 161–169) published a new approxi...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
This paper presents the generalized p-values for testing the Behrens-Fisher problem when one varianc...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
The history of the Behrens-Fisher problem and some approximate solutions are reviewed. In outlining ...
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