Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...

This is a preview. Log in through your library . Abstract In this paper we consider singly imputed synthetic data generated via plugin sampling under the multivariate normal model. Based on the ...

We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...