A bewilderingly large number of statistical quantities have been proposed to study outliers and influence of individual observations in regression analysis. In this article we describe the ...

Outliers within a bioassay are not uncommon, especially with animal models. Ordinary linear regression is sensitive to outliers; even a single outlier may compromise parallelism and other assay ...

Linear regression may be the most basic and accessible machine learning (ML) algorithm, but it’s also one of the fastest and most powerful. As a result, professionals in business, science, and ...