Users can instantly recreate AI-generated insights in their existing BI and data analytics tools and use Collections to organize multiple insights around business initiatives OAKLAND, CA, Dec. 13, ...

This paper analyzes the resampling technique of jackknifing and its capability of detecting outliers in data envelopment analysis. It is well recognized that measured efficiency is sensitive to ...

Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

Identifying outliers in a data set is conceptually cut and dry. Extremes, by definition, should be conspicuous. But in practice, labeling outliers is a mix of art and science, in part because ...

Earlier this week, the Democratic race for president was seemingly rocked by a Monmouth University poll showing former Vice President Joe Biden falling from 32% to 19%. The poll, which had Biden in a ...

Double-Blind Phase III Randomized Trial of the Antiprogestin Agent Mifepristone in the Treatment of Unresectable Meningioma: SWOG S9005 Next-generation sequencing was used to analyze this patient's ...

Would you know an outlier if you saw one? They’re everywhere and easy to spot, or so one can argue. But casual observation is one thing and shouldn’t be confused with robust statistical definitions.