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 ...

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 ...

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 ...

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 ...

The analysis in this report is based on a survey conducted August 7-14, 2013 among a sample of 1,052 adults, 18 years of age or older. The survey was conducted by the GfK Group using KnowledgePanel, ...

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 ...

Financial distress prediction plays an important role in the decision-making process of stock and bond investors, commercial banks and commercial credit adjusters. The effectiveness of financial ...