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In practice, systematic sampling is used on account of its simplicity and convenience. It's easy to explain to the people doing the actual work. It can be justified theoretically wherever the population from which units are to be sampled systematically are randomly distributed. It can be used for sampling households, sampling callers on a telephone line, sampling plants along a transect in (say) a field, sampling people passing through customs, and so on.
Multistage sampling is a form of cluster sampling where instead of using the entire cluster, random samples from each cluster are used. This is typically used when doing opinion polls or surveys.
The sampling level is the size or limit of a population used during a study. This level is used to determine if a particular standard or mandate is being met.
Primary sampling is a research method used by various companies for many different reasons. The primary sampling unit arises in sampling surveys where population elements are grouped, and those groups becomes units in the sample selection.
Instantaneous sampling is one method used for sampling a continuous time signal into discrete time signal. This method is called as ideal or impulse sampling. In this method, we multiply a impulse function with the continuous time signal to be sampled. The output is instantaneously sampled signal.