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In the design of experiments, consecutive sampling, also known as total enumerative sampling, [1] is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved. [2]
Consecutive sampling, also known as total enumerative sampling, [7] is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved. [8] [9] Snowball sampling, involving the first respondent referring an
Enumerative and analytic studies differ by where the action is taken. Deming first published on this topic in 1942. [1] Deming summarized the distinction between enumerative and analytic studies as follows: [2] Enumerative study: A statistical study in which action will be taken on the material in the frame being studied.
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...
The performance of an enumeration algorithm is measured in terms of the time required to produce the solutions, either in terms of the total time required to produce all solutions, or in terms of the maximal delay between two consecutive solutions and in terms of a preprocessing time, counted as the time before outputting the first solution.
A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole ...
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1.4 Independent and identically distributed random variables with random sample ... from the law of total ... an enumerative study). When the sampling ...