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Everything about Simple random sample

Sampling technique

In statistics, a simple random sample is a subset of individuals chosen from a larger set in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Simple random sampleA 5-minute orientation
  2. Skim a recent paper: Extending Cochran’s Sample Size Rule to Stratified Simple Random Sampling with Applications to Audit SamplingInfluential work since 2022
  3. Pick up a classic book: The Picture of Dorian GrayThe most-reprinted book on the subject
  4. Read the landmark paper: A Convenient Algorithm for Drawing a Simple Random SampleCited 41 times
  5. Go sideways: Random permutationA closely related topic
  6. Go sideways: Bernoulli samplingA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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