What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?

The first video in our "Methods 101" series is about random sampling, a concept that undergirds all probability-based survey research. Here's how it works.

In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation ...

The new system greatly outperformed previous random sampling methods in capturing the target behavior and the researchers were able to observe previously unreported foraging behaviors in gulls.

A procedure is discussed for randomization of the number theoretic methods of the Korobov type producing stochastic families of multi-dimensional integration rules.