Adaptive sampling is a sampling technique that is implemented while a survey is being fielded—that is, the sampling design is modified in real time as data collection continues—based on what has been learned from previous sampling that has been completed. Its purpose is to improve the selection of elements during the remainder of the sampling, thereby improving the representativeness of the data that the entire sample yields.


The purpose of sampling is to learn about one or more characteristics of a population of interest by investigating a subset, which is referred to as a sample, of that population. Typical population quantities of interest include the population mean, total, and proportion. For example, a population quantity of interest might be the total number of people living in ...

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