Krishnamoorthy and Yu (2004, Statistics and Probability Letters 66: 161–169) published a new approximate solution to the multivariate Behrens–Fisher problem. It is a modification of Nel and Van der Merwe’s (1986, Communications in Statistics, Theory and Methods 15: 3719–3735) test. The test is invariant and identical to Welch’s test for one-dimensional data. In this article, I describe an implementation of the test in Stata. The hotelmnm command allows you to perform the test easily and returns computed values for possible further computations
The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two n...
TIB: RN 7349 (408) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbibliot...
Non-normality and heteroscedasticity are common in applications. For the comparison of two samples i...
Krishnamoorthy and Yu (2004, Statistics and Probability Letters 66: 161–169) published a new approxi...
A new test to the multivariate Behrens–Fisher problem is obtained by modifying Nel and Van der Merwe...
In this work we are concerned with the problem of testing the equality of the means from the two pop...
The Behrens—Fisher problem concerns finding an interval estimate for the difference between the mean...
In der vorliegenden Arbeit wird das Behrens-Fisher-Problem auf den Fall multivariater ...
AbstractTsui and Weerahandi (1989) defined generalized p-values for testing statistical hypothesis i...
When testing the equality of the means from two independent normally distributed populations given t...
In this paper we discuss the well known multivariate Behrens-Fisher prob-lem which deals with testin...
A nonparametric test for the Behrens-Fisher problem that is an extension of a test proposed by Flign...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
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...
TIB: RN 7349 (408) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbibliot...
Non-normality and heteroscedasticity are common in applications. For the comparison of two samples i...
Krishnamoorthy and Yu (2004, Statistics and Probability Letters 66: 161–169) published a new approxi...
A new test to the multivariate Behrens–Fisher problem is obtained by modifying Nel and Van der Merwe...
In this work we are concerned with the problem of testing the equality of the means from the two pop...
The Behrens—Fisher problem concerns finding an interval estimate for the difference between the mean...
In der vorliegenden Arbeit wird das Behrens-Fisher-Problem auf den Fall multivariater ...
AbstractTsui and Weerahandi (1989) defined generalized p-values for testing statistical hypothesis i...
When testing the equality of the means from two independent normally distributed populations given t...
In this paper we discuss the well known multivariate Behrens-Fisher prob-lem which deals with testin...
A nonparametric test for the Behrens-Fisher problem that is an extension of a test proposed by Flign...
A new theoretical solution to the Behrens-Fisher (BF) problem is developed using empirical likelihoo...
Defining a location parameter as a generalization of the median, a robust test is proposed for (a) t...
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...
TIB: RN 7349 (408) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbibliot...
Non-normality and heteroscedasticity are common in applications. For the comparison of two samples i...