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- CLs_upper_limits abstract "CLs (from Confidence Levels) is a statistical method for setting upper limits on model parameters, a particular form of interval estimation used for parameters that can take only non-negative values. It was first introduced by physicists working at the LEP experiment at CERN and has since been used by many high energy physics experiments. It is a frequentist method in the sense that the properties of the limit are defined by means of error probabilities, however it differs from standard confidence intervals in that the stated confidence level of the interval is not equal to its coverage probability. The reason for this deviation is that standard upper limits based on a most powerful test necessarily produce empty intervals with some fixed probability when the parameter value is zero, and this property is considered undesirable by most physicists and statisticians.Upper limits derived with the CLs method always contain the zero value of the parameter and hence the coverage probability at this point is always 100%. The definition of CLs does not follow from any precise theoretical framework of statistical inference and is therefore described sometimes as ad hoc. It has however close resemblance to concepts of statistical evidenceproposed by the statistician Allan Birnbaum.".
- CLs_upper_limits wikiPageExternalLink PhysRevD.69.033002.
- CLs_upper_limits wikiPageExternalLink rpp2010-rev-statistics.pdf.
- CLs_upper_limits wikiPageID "33581389".
- CLs_upper_limits wikiPageRevisionID "600523174".
- CLs_upper_limits hasPhotoCollection CLs_upper_limits.
- CLs_upper_limits subject Category:Measurement.
- CLs_upper_limits subject Category:Statistical_inference.
- CLs_upper_limits subject Category:Statistical_intervals.
- CLs_upper_limits subject Category:Statistical_terminology.
- CLs_upper_limits type Abstraction100002137.
- CLs_upper_limits type Measure100033615.
- CLs_upper_limits type StatisticalIntervals.
- CLs_upper_limits type TimeInterval115269513.
- CLs_upper_limits comment "CLs (from Confidence Levels) is a statistical method for setting upper limits on model parameters, a particular form of interval estimation used for parameters that can take only non-negative values. It was first introduced by physicists working at the LEP experiment at CERN and has since been used by many high energy physics experiments.".
- CLs_upper_limits label "CLs upper limits".
- CLs_upper_limits sameAs m.0hndctd.
- CLs_upper_limits sameAs CLs_upper_limits.
- CLs_upper_limits wasDerivedFrom CLs_upper_limits?oldid=600523174.
- CLs_upper_limits isPrimaryTopicOf CLs_upper_limits.