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 ...

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Problems involved in the application of probability sampling strategies to woodland environments are discussed and illustrated by example. The results of the sample and the field tactics employed in ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...

UK – At a lecture hosted by the International Journal of Market Research (IJMR), researchers from Kantar, NatCen and Ipsos Mori discussed the future of random probability sampling. Random probability ...

The COVID-19 pandemic has infected over 38 million people around the world and is showing no signs of going away any time soon. Researchers worldwide are frantically working on developing an effective ...

We prove a theorem justifying the regularity conditions which are needed for Path Sampling in Factor Models. We then show that the remaining ingredient, namely, MCMC for calculating the integrand at ...

A small company wants to audit employee travel expenses in an effort to improve the expense reporting procedure and possibly reduce expenses. The company does not have resources to examine all expense ...

Referring to recent confusion over whether UK crime statistics are going up or down, he said: “I’ve got a lot of time for varied and creative approaches to data collection, but when you’re looking at ...