Wiley Encyclopedia of Clinical Trials 2008
DOI: 10.1002/9780471462422.eoct994
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Goodness of Fit

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(1 citation statement)
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“…Parametric techniques are useful when there is some evidence or knowledge about the underlying distribution of the data. For example, if the median ij m is stable and centered in the interquartile range ij iqr , it is possible that data might be modeled through a Gaussian distribution [37], although further analyses would be required, such as χ 2 goodness-of-fit test [30,47,48]. Other popular parametric distributions are Gamma and Long-tail.…”
Section: Distribution-based Anomaly Detectionmentioning
confidence: 99%
“…Parametric techniques are useful when there is some evidence or knowledge about the underlying distribution of the data. For example, if the median ij m is stable and centered in the interquartile range ij iqr , it is possible that data might be modeled through a Gaussian distribution [37], although further analyses would be required, such as χ 2 goodness-of-fit test [30,47,48]. Other popular parametric distributions are Gamma and Long-tail.…”
Section: Distribution-based Anomaly Detectionmentioning
confidence: 99%