Since the two-sample t-test presupposes equality of variances, often a preliminary F-test is advised to check this assumption. However, very large sample sizes are necessary before this procedure behaves in a satisfactory manner. In the present note this phenomenon is explained using second-order asymptotics. Simple and accurate expressions are derived relating the sample sizes required to the underlying parameters
Two-sample T tests are described in this thesis. They are an im- portant method for testing hypothes...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
This dissertation addresses some interesting inferential problems for the mean of a special normal d...
Since the two-sample t-test presupposes equality of variances, often a preliminary F-test is advised...
In comparing two normal means, possible inequality of the corresponding variances plays an important...
When testing the equality of the means from two independent normally distributed populations given t...
AbstractSequential two-sample tests when the sample size for one of the two populations is fixed is ...
Yu en'st wo-sample trimmed mean test statistic is one of the most robust methods to apply when ...
We develop a test for equality of variances given two independent random samples of observations. Th...
In this paper, we consider testing the equality of two mean vectors with unequal covari-ance matrice...
To test for equality of variances given two independent random samples from univariate normal popula...
A pre-test procedure consists of a preliminary test on a nuisance parameter, investigating whether i...
Testing the equality of two means is a fundamental inference problem. For high-dimensional data, the...
[[abstract]]The level and the power of the usual F-test in analysis of variances are sensitive to un...
A pretest procedure consists of a preliminary test on a nuisance pa-rameter, investigating whether i...
Two-sample T tests are described in this thesis. They are an im- portant method for testing hypothes...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
This dissertation addresses some interesting inferential problems for the mean of a special normal d...
Since the two-sample t-test presupposes equality of variances, often a preliminary F-test is advised...
In comparing two normal means, possible inequality of the corresponding variances plays an important...
When testing the equality of the means from two independent normally distributed populations given t...
AbstractSequential two-sample tests when the sample size for one of the two populations is fixed is ...
Yu en'st wo-sample trimmed mean test statistic is one of the most robust methods to apply when ...
We develop a test for equality of variances given two independent random samples of observations. Th...
In this paper, we consider testing the equality of two mean vectors with unequal covari-ance matrice...
To test for equality of variances given two independent random samples from univariate normal popula...
A pre-test procedure consists of a preliminary test on a nuisance parameter, investigating whether i...
Testing the equality of two means is a fundamental inference problem. For high-dimensional data, the...
[[abstract]]The level and the power of the usual F-test in analysis of variances are sensitive to un...
A pretest procedure consists of a preliminary test on a nuisance pa-rameter, investigating whether i...
Two-sample T tests are described in this thesis. They are an im- portant method for testing hypothes...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
This dissertation addresses some interesting inferential problems for the mean of a special normal d...