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 ...

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 ...

The 8th ESRA (European Survey Research Association) Conference was held in Croatia in July 2019, which staged 220 sessions on survey research. Among them, this article focuses on the latest cases of ...

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...

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 ...

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 ...

What's the best way to get a statistically reliable sample of people who are hard to identify, such as illegal-drug users in large cities, itinerant jazz musicians, aging Manhattan artists and ...

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 ...

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 ...