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skewnessSoftware
The mitigation of outliers serves to increase the strength of a relationship between variables. This study defined outliers in three different ways and used five regression procedures to describe the effects of outliers on 50 data sets. This study also examined the relationship among the shape of the distribution, skewness, and outliers
summary:Outliers in univariate and multivariate regression models with constraints are under conside...
Abstract. Outlier detection statistics based on two models, the case-deletion model and the mean-shi...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
This study attempts to investigate the effect of outliers on estimation of parameters in regression ...
Studying the observations in regression analysis it is seen that the out-put of regression is affect...
The strong impact of outliers and leverage points on the ordinary least square (OLS) regression esti...
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...
This article addresses the issue of building regression models for bounded responses, which are robu...
The overall purpose of this dissertation is to investigate how outliers affect the decisions about t...
Includes bibliographical references (leaves 140-149).Identifying outliers and/or influential observa...
Observations arising from a linear regression model, lead one to believe that a particular observati...
Parallel to the development in regression diagnosis, this paper de-fines good and bad leverage obser...
This study attempts to better understand the impact of an outlier in time series model and the impor...
<p>The largest seven outliers in phenotype 1 account for the bulk of the variance in the data; in co...
summary:Outliers in univariate and multivariate regression models with constraints are under conside...
Abstract. Outlier detection statistics based on two models, the case-deletion model and the mean-shi...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
This study attempts to investigate the effect of outliers on estimation of parameters in regression ...
Studying the observations in regression analysis it is seen that the out-put of regression is affect...
The strong impact of outliers and leverage points on the ordinary least square (OLS) regression esti...
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...
This article addresses the issue of building regression models for bounded responses, which are robu...
The overall purpose of this dissertation is to investigate how outliers affect the decisions about t...
Includes bibliographical references (leaves 140-149).Identifying outliers and/or influential observa...
Observations arising from a linear regression model, lead one to believe that a particular observati...
Parallel to the development in regression diagnosis, this paper de-fines good and bad leverage obser...
This study attempts to better understand the impact of an outlier in time series model and the impor...
<p>The largest seven outliers in phenotype 1 account for the bulk of the variance in the data; in co...
summary:Outliers in univariate and multivariate regression models with constraints are under conside...
Abstract. Outlier detection statistics based on two models, the case-deletion model and the mean-shi...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
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