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Probability-scale residuals for continuous, discrete, and censored data
We describe a new residual for general regression models, defined as pr(Y(*) < y) − pr(Y(*) > y), where y is the observed outcome and Y(*) is a random variable from the fitted distribution. This probability-scale residual can be written as E {sign(y, Y(*))} whereas the popular observed-minus-e...
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| Veröffentlicht in: | Can J Stat |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5364820/ https://ncbi.nlm.nih.gov/pubmed/28348453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cjs.11302 |
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