Outliers have the potential to skew analysis when they aren’t properly accounted for. Addressing outliers, specifically in trade cost analysis (TCA) data, is crucial for traders because it ensures the ...

Most conventional quantitative methods from forecasting to optimization suffer from the existence of large outliers in the data. There are many responses to remedy this problem, from using ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

Figure 1 Outlier. An Outlier is a data point or two that lie outside the norm. Source: Courtesy of Shutterstock Outliers can be annoying. A single data point or two that lie outside of the norm can ...