Jump to content

Sampling probability

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Bgeelhoed (talk | contribs) at 11:12, 31 December 2008 (Created page with 'In the theory of finite population sampling, the '''inclusion probability''' of an element is its probability of becoming part of the sample during the drawing ...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

In the theory of finite population sampling, the inclusion probability of an element is its probability of becoming part of the sample during the drawing of a single sample.

Each element of the population may have a different probability of being included in the sample. The inclusion probability is also termed the first-order inclusion probability to distinguish it from the second-order inclusion probability, i.e. the probability of including a pair of elements.

Generally, the first-order inclusion probability of the ith element of the population is denoted by the symbol πi and the second-order inclusion probability that a pair consisting of the ith and jth element of the population that is sampled is included in a sample during the drawing of a single sample is denoted by πij.


See also

Further reading

  • Sarndal, Swenson, and Wretman (1992), Model Assisted Survey Sampling, Springer-Verlag, ISBN 0-387-40620-4