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 ...

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 ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

A practical method of drawing sampling units with probabilities exactly proportional to size is described, in which both preliminary calculations and the addition of a large number of sizes are ...

A new sampling scheme, with probability of inclusion proportional to size, is proposed for a sample of given size n. It satisfies many requirements of a good sampling scheme under conditions usually ...

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 ...

Since the inception of rigorous survey work, researchers have been forced—by time and budget constraints—to rely on a slew of sampling methods to estimate population parameters. Sampling is, of course ...