Naïve Nonparametric Bootstrap Model Weights Are Biased
نویسندگان
چکیده
منابع مشابه
Näıve Nonparametric Bootstrap Model Weights
The plausibility of competing statistical models may be assessed using penalized log-likelihood criteria such as the AIC, which is given by AIC = −2lnL + 2k (L being the maximum likelihood estimate and k the number of free parameters). The raw AIC values can be transformed to AIC model weights by wi = exp(− 2∆AICi)/ ∑R r=1 exp(− 2∆AICr), where ∆AICi = AICi − min(AIC) and R is the total number o...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2004
ISSN: 0006-341X,1541-0420
DOI: 10.1111/j.0006-341x.2004.150_1.x