Drift Detection by Measuring Distribution Differences
摘要
This chapter discusses the concepts of populations and samples of observational units and the idea of drift detection as being an inference that drift has occurred in a population distribution based on an observed data sample. It introduces one- and two-sample hypothesis tests for both the univariate and multivariate settings and numeric and categorical data. It discusses issues in the use of significance measures such as p-values and effect sizes.