Geary (Biometrika 34, 1947) has introduced a differential series for the density function of Student's t under nonnormality where the sample population is assumed to have finite moments up to a certain order. If (K/sub r/) and (K'/sub r/) are the cumulants of t under the two regimes (normality and nonnormality), then the discrepancies (K/sub r/--K'/sub r/) can be ordered with respect to sample size, in an ordering in powers of 1/..sqrt..n(n = sample size) of the modified density and cumulative distribution function of t. Geary carried this out to order n/sup -2/. Relative error contours comparing Geary's n/sup -1/ and n/sup -2/ approximations of the upper and lower modified probability levels for ..cap alpha.. = 0.05 and...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Let T be the Student one- or two-sample t-, F-, or Welch statistic. Now release the underlying assum...
Each point shows the result from a simulation repetition, and there are 10,000 such repetitions. Con...
Approximate distributions of the sample coefficient alpha under nonnormality as well as normality ar...
Let T be the Student one- or two-sample t-, F-, or Welch statistic. Now release the underlying assum...
The class of Smoothly Truncated Levy distributions is an intermediate class\ud between stable and no...
In this paper, we develop a local limit theorem for the Student distribution. We use it to improve t...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147087/1/rssc01350.pd
Abstract: A common problem in statistical modelling is to distinguish between finite mixture distrib...
An exact formula of the convolution of two t densities with odd degrees of freedom is derived. From ...
This study investigated how population parameters representing heterogeneity of variance, skewness, ...
A new method of approximating the probability density function (pdf’s) of econometric estimators and...
Regression to the mean is the term used to describe the effect by which individuals selected on the ...
While violation of the homogeneity of variance assumption has received considerable attention, viola...
A limiting feature of previous work on growth mixture modeling is the assumption of normally distrib...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Let T be the Student one- or two-sample t-, F-, or Welch statistic. Now release the underlying assum...
Each point shows the result from a simulation repetition, and there are 10,000 such repetitions. Con...
Approximate distributions of the sample coefficient alpha under nonnormality as well as normality ar...
Let T be the Student one- or two-sample t-, F-, or Welch statistic. Now release the underlying assum...
The class of Smoothly Truncated Levy distributions is an intermediate class\ud between stable and no...
In this paper, we develop a local limit theorem for the Student distribution. We use it to improve t...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147087/1/rssc01350.pd
Abstract: A common problem in statistical modelling is to distinguish between finite mixture distrib...
An exact formula of the convolution of two t densities with odd degrees of freedom is derived. From ...
This study investigated how population parameters representing heterogeneity of variance, skewness, ...
A new method of approximating the probability density function (pdf’s) of econometric estimators and...
Regression to the mean is the term used to describe the effect by which individuals selected on the ...
While violation of the homogeneity of variance assumption has received considerable attention, viola...
A limiting feature of previous work on growth mixture modeling is the assumption of normally distrib...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Let T be the Student one- or two-sample t-, F-, or Welch statistic. Now release the underlying assum...
Each point shows the result from a simulation repetition, and there are 10,000 such repetitions. Con...