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 ...

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...

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 ...

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 ...

1 Institute of Marine Science and Technology, Shandong University, Qingdao, China 2 Joint Lab for Ocean Research and Education at Dalhousie University, Shandong University and Xiamen University, ...

1 Department of Computer Science, University of Warwick, Coventry, United Kingdom 2 Cellular Pathology Department, University Hospital of Coventry and Warwickshire, Coventry, United Kingdom This study ...