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- Q7882386 subject Q6975692.
- Q7882386 subject Q8424125.
- Q7882386 subject Q8425180.
- Q7882386 abstract "In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical dispersion) of a population of values, in such a way that the expected value of the calculation equals the true value. Except in some important situations, outlined later, the task has little relevance to applications of statistics since its need is avoided by standard procedures, such as the use of significance tests and confidence intervals, or by using Bayesian analysis.However, for statistical theory, it provides an exemplar problem in the context of estimation theory which is both simple to state and for which results cannot be obtained in closed form. It also provides an example where imposing the requirement for unbiased estimation might be seen as just adding inconvenience, with no real benefit.".
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- Q7882386 wikiPageWikiLink Q6975692.
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- Q7882386 wikiPageWikiLink Q8424125.
- Q7882386 wikiPageWikiLink Q8425180.
- Q7882386 wikiPageWikiLink Q845777.
- Q7882386 comment "In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical dispersion) of a population of values, in such a way that the expected value of the calculation equals the true value.".
- Q7882386 label "Unbiased estimation of standard deviation".