Discover how simple random sampling ensures accurate and unbiased population research, offering efficiency and fairness over ...

The major assumption behind traditional parametric procedures--more fundamental than normality and homogeneity of variance--is the assumption that we have randomly sampled from some population ...

This code implements sequential and parallel methods for weighted random sampling, as described in our eponymous paper: Hübschle-Schneider, L., & Sanders, P. (2019). Parallel Weighted Random Sampling.

Reservoir sampling is a family of randomized algorithms for randomly choosing a sample of k items from a list S containing n items, where n is either a very large or unknown number. Typically n is ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Random sampling is a standard technique for constructing (approximate) histograms for query optimization. However, any real implementation in commercial products requires solving the hard problem of ...