Add to ORKGA set of FORTRAN subprograms is presented to compute density and cumulative distribution functions and critical values for the range ratio statistics of Dixon (1951, The Annals of Mathematical Statistics) These statistics are useful for detection of outliers in small samples
The outlier behaviour of distributions and the decay of power of optimal tests at decreasing level. ...
The purpose of this brief note is to bring to the attention of readers a collection of Fortran routi...
contaminated with outliers that should be eliminated before estimation of the reference interval. A ...
A set of FORTRAN subprograms is presented to compute density and cumulative distribution functions a...
A probability distribution was developed for the Andrews-Pregibon (AP) statistic. The statistic, dev...
This paper concerns itself with the methods of identifying outliers in an otherwise normally distrib...
The problem of the detection of outliers is meaningful only within the context of a given statistica...
Whether an extreme observation is an outlier or not depends strongly on the corresponding tail behav...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
The Distribution of Test Statistics for Outlier Detection in Heavy-tailed Sample
This article provides distributional results for testing multiple outliers in regression. Because di...
This article provides distributional results for testing multiple outliers in regression. Because d...
Outlier identification, St. Petersburg paradox, continuous distributions, 62H99, 62G35,
A statistical technique and the necessary computer program for editing multivariate data are present...
This article describes the criteria for detection of outliers power depending on a small size sample...
The outlier behaviour of distributions and the decay of power of optimal tests at decreasing level. ...
The purpose of this brief note is to bring to the attention of readers a collection of Fortran routi...
contaminated with outliers that should be eliminated before estimation of the reference interval. A ...
A set of FORTRAN subprograms is presented to compute density and cumulative distribution functions a...
A probability distribution was developed for the Andrews-Pregibon (AP) statistic. The statistic, dev...
This paper concerns itself with the methods of identifying outliers in an otherwise normally distrib...
The problem of the detection of outliers is meaningful only within the context of a given statistica...
Whether an extreme observation is an outlier or not depends strongly on the corresponding tail behav...
An outlier is an observation that appears to deviate markedly from other observations in the sample ...
The Distribution of Test Statistics for Outlier Detection in Heavy-tailed Sample
This article provides distributional results for testing multiple outliers in regression. Because di...
This article provides distributional results for testing multiple outliers in regression. Because d...
Outlier identification, St. Petersburg paradox, continuous distributions, 62H99, 62G35,
A statistical technique and the necessary computer program for editing multivariate data are present...
This article describes the criteria for detection of outliers power depending on a small size sample...
The outlier behaviour of distributions and the decay of power of optimal tests at decreasing level. ...
The purpose of this brief note is to bring to the attention of readers a collection of Fortran routi...
contaminated with outliers that should be eliminated before estimation of the reference interval. A ...