<p>The largest seven outliers in phenotype 1 account for the bulk of the variance in the data; in contrast, the outlier distribution for phenotype 2 is similar to that of a random normal variable.</p
The problem of the detection of outliers is meaningful only within the context of a given statistica...
<p>Proportion of total random effects variance explained by population of origin, maternal line, and...
<p>Summary of phenotype distributions (mean ± standard deviation) for individuals in our analysis, s...
The mitigation of outliers serves to increase the strength of a relationship between variables. This...
This article provides distributional results for testing multiple outliers in regression. Because d...
This article provides distributional results for testing multiple outliers in regression. Because di...
In order to describe or generate so-called outliers in univariate statistical data, contamination mo...
<p>Panels A and B show the effects of outliers (). In panel A and in Panel B the outlier frequency,...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
This study attempts to investigate the effect of outliers on estimation of parameters in regression ...
This article addresses the issue of building regression models for bounded responses, which are robu...
The following two problems are considered in the case of several normal populations with known varia...
<p>*For difference between outliers and non-outliers</p><p>Figures are means (SD) unless stated othe...
Graduation date: 1984This thesis is concerned with the problem of developing a\ud method to categori...
The Distribution of Test Statistics for Outlier Detection in Heavy-tailed Sample
The problem of the detection of outliers is meaningful only within the context of a given statistica...
<p>Proportion of total random effects variance explained by population of origin, maternal line, and...
<p>Summary of phenotype distributions (mean ± standard deviation) for individuals in our analysis, s...
The mitigation of outliers serves to increase the strength of a relationship between variables. This...
This article provides distributional results for testing multiple outliers in regression. Because d...
This article provides distributional results for testing multiple outliers in regression. Because di...
In order to describe or generate so-called outliers in univariate statistical data, contamination mo...
<p>Panels A and B show the effects of outliers (). In panel A and in Panel B the outlier frequency,...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
This study attempts to investigate the effect of outliers on estimation of parameters in regression ...
This article addresses the issue of building regression models for bounded responses, which are robu...
The following two problems are considered in the case of several normal populations with known varia...
<p>*For difference between outliers and non-outliers</p><p>Figures are means (SD) unless stated othe...
Graduation date: 1984This thesis is concerned with the problem of developing a\ud method to categori...
The Distribution of Test Statistics for Outlier Detection in Heavy-tailed Sample
The problem of the detection of outliers is meaningful only within the context of a given statistica...
<p>Proportion of total random effects variance explained by population of origin, maternal line, and...
<p>Summary of phenotype distributions (mean ± standard deviation) for individuals in our analysis, s...
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