In her first column, APS President Randi Martin makes the case for collaborative research that cuts across research areas. In ...

PROC SURVEYSELECT provides a variety of methods for selecting probability-based random samples. With probability sampling, each unit in the survey population has a known, positive probablity of ...

i.e. a sample of units from the population drawn in accordance with a well-prescribed selection mechanism. This report describes the various sample designs and weighting methods regularly used at ...

Importance sampling and Monte Carlo methods are powerful statistical techniques used for estimating complex integrals, particularly in the context of Bayesian inference. These methods are ...

Enhanced sampling methods, which can handle long timescales, are promising but have mainly been applied to simple systems.

Armenia, in collaboration with the World Bank and WorldPop, has developed its first digital pre-census sampling frame using ...

If you are using the wrong kind of sampling method for your experiment, this can lead to biased results. Sampling of the area you are studying must be random. It must show no bias – for instance ...

This paper provides a methodological assessment of the advantages and drawbacks of the origin-based snowballing technique as a reliable method to construct representative samples of international ...