Sampling, Probabilistic and Statistical


This entry covers fundamental statistical and practical aspects of survey sampling. Beginning with definitions of basic sampling concepts, the distinction between probability and nonprobability samples is described, along with examples of each. Sources of sampling bias and sampling error are covered next followed by a section on the sampling process, including population definition, sampling frames and solutions to problems that arise with frames, stratified and cluster sampling, methods to improve sampling efficiency, and weighting sample estimates.

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