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 ...

One possible explanation for the variability in estimates across the different nonprobability samples is the range of methods that online sample vendors employ. They differ on recruitment, weighting ...

This short course introduces statistical survey methods necessary to acquire information from people and analyze the collected information in an objective way which would minimizes bias and errors in ...

The Forced Displacement Survey (FDS) is a programme designed to streamline and standardize surveys that collect data on forcibly displaced people. Currently, UNHCR has two primary data sources: ...

Sankhyā: The Indian Journal of Statistics, Series B (2008-), Vol. 78, No. 1 (May 2016), pp. 66-77 (12 pages) We consider the problem of unbiased estimation of a finite population mean (or proportion) ...

When you start with a reasonably well-controlled sample and some people opt out, you have a subset of a reasonably well-controlled sample. It looks as though allowing too much self-selection can be ...

Researchers often use sample survey methodology to obtain information and make inferences about a large aggregate or population. The application of a wide variety of available sampling designs ...