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Published in SEEK blog

·May 25

Assessing the Influence of Outliers in A/B Experiments: Quantile Functions and Sensitivity Analysis

At SEEK’s Artificial Intelligence Platform Services (AIPS) we routinely use A/B experiments to measure the impact of introducing new, or modifying existing, products and services. Most A/B experiments, including our own, are based around comparing the sample mean between the A and B groups. …

Data Science

11 min read

Assessing the Influence of Outliers in A/B Experiments: Quantile Functions and Sensitivity Analysis
Assessing the Influence of Outliers in A/B Experiments: Quantile Functions and Sensitivity Analysis
Dror Cohen

Dror Cohen

Data Scientist

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