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- Q13631059 subject Q8382009.
- Q13631059 subject Q8646998.
- Q13631059 subject Q8817189.
- Q13631059 abstract "There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Thus "calibration" can meanA reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable.Procedures in statistical classification to determine class membership probabilities which assess the uncertainty of a given new observation belonging to each of the already established classes.In addition, "calibration" is used in statistics with the usual general meaning of calibration. For example, model calibration can be also used to refer to Bayesian inference about the value of a model's parameters, given some data set, or more generally to any type of fitting of a statistical model.".
- Q13631059 wikiPageWikiLink Q10861030.
- Q13631059 wikiPageWikiLink Q10884.
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- Q13631059 wikiPageWikiLink Q7540242.
- Q13631059 wikiPageWikiLink Q80205.
- Q13631059 wikiPageWikiLink Q812535.
- Q13631059 wikiPageWikiLink Q8382009.
- Q13631059 wikiPageWikiLink Q840660.
- Q13631059 wikiPageWikiLink Q8646998.
- Q13631059 wikiPageWikiLink Q8817189.
- Q13631059 comment "There are two main uses of the term calibration in statistics that denote special types of statistical inference problems.".
- Q13631059 label "Calibration (statistics)".