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 ...

Learn advanced filtering in Excel with a criteria area, OR and AND logic, and copy results to isolate the right rows fast.

Working with large datasets in Excel can be daunting, especially when you need to identify critical trends or outliers. Have you ever stared at a massive Excel spreadsheet, feeling like you’re ...

Kaizen Analytix LLC, a provider of data, analytics, and technology solutions, is releasing its new Anomaly Detection Engine that systematically searches through all segments of a company’s data to ...

Outliers represent a fundamental challenge in the empirical finance research. We investigate whether the routine techniques used in finance research to identify and treat outliers are appropriate for ...

An outlier is an observation that lies an abnormal distance from other values in a random sample from a population,” advises the Engineering Statistics Handbook. One of the standard approaches is to ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and ...

Every measurement counts at the nanoscopic scale of modern semiconductor processes, but with each new process node the number of measurements and the need for accuracy escalate dramatically. Petabytes ...