Large sample properties of statistical inferences in the context of finite populations are harder to determine than in the i.i.d. case due to their dependence jointly on the characteristics of the ...

The data in this report is drawn from a national cross-sectional survey conducted for Pew Research Center by Westat. The sampling design of the survey was an address-based sampling (ABS) approach, ...

In adaptive cluster sampling designs, an initial probability sample is selected and, whenever the observed value of the variable of interest satisfies a given condition, units in the neighborhood of ...

Suppose that the sample of students described in the previous section was actually selected using stratified random sampling. In stratified sampling, the study population is divided into ...

If no other sources are available to measure certain variables of a target population, Statistics Netherlands often uses a random sample, i.e. a sample of units from the population drawn in accordance ...

A nonprobability sampling design is chosen when investigators cannot estimate the chance of a given individual being included in the sample. Such designs enable investigators to study groups that may ...

A statistically designed random sampling scheme, based on as few as 100 people, would give a very high probability of detecting if there are any COVID-19 cases and highlight at-risk hotspots.

Scientists have devised the world's most advanced gas-sampling procedure — allowing repeated measurements using only picoliters of gas — at Sandia National Laboratories. Scientists have ...

The survey analysis is drawn from a national cross-sectional survey conducted for Pew Research Center by Westat. The sampling design of the survey was an address-based sampling (ABS) approach, ...