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- W2048009248 abstract "We present a general sampling procedure to quantify model mimicry, defined as the ability of a model to account for data generated by a competing model. This sampling procedure, called the parametric bootstrap cross-fitting method (PBCM; cf. Williams (J. R. Statist. Soc. B 32 (1970) 350; Biometrics 26 (1970) 23)), generates distributions of differences in goodness-of-fit expected under each of the competing models. In the data informed version of the PBCM, the generating models have specific parameter values obtained by fitting the experimental data under consideration. The data informed difference distributions can be compared to the observed difference in goodness-of-fit to allow a quantification of model adequacy. In the data uninformed version of the PBCM, the generating models have a relatively broad range of parameter values based on prior knowledge. Application of both the data informed and the data uninformed PBCM is illustrated with several examples." @default.
- W2048009248 created "2016-06-24" @default.
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- W2048009248 date "2004-02-01" @default.
- W2048009248 modified "2023-10-18" @default.
- W2048009248 title "Assessing model mimicry using the parametric bootstrap" @default.
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- W2048009248 cites W1830719945 @default.
- W2048009248 cites W1967239989 @default.
- W2048009248 cites W1967485420 @default.
- W2048009248 cites W1968832734 @default.
- W2048009248 cites W1973624057 @default.
- W2048009248 cites W1975260543 @default.
- W2048009248 cites W1982365037 @default.
- W2048009248 cites W1987005168 @default.
- W2048009248 cites W1987125953 @default.
- W2048009248 cites W1987464952 @default.
- W2048009248 cites W2001994823 @default.
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- W2048009248 cites W2005573962 @default.
- W2048009248 cites W2005587766 @default.
- W2048009248 cites W2006388199 @default.
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- W2048009248 cites W2012980271 @default.
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- W2048009248 cites W2086694237 @default.
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- W2048009248 cites W2096633628 @default.
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- W2048009248 cites W2148249824 @default.
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- W2048009248 cites W4240221050 @default.
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- W2048009248 doi "https://doi.org/10.1016/j.jmp.2003.11.004" @default.
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