LEERY
发表于 2025-3-23 11:48:07
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FEIGN
发表于 2025-3-23 17:32:01
https://doi.org/10.1007/978-3-663-09498-2tti and Staudte. Then we propose a new method for robustly finding acceptable submodels using weights of evidence for hypotheses regarding the noncentrality parameter of the Wald test statistic. The theory is illustrated with applications to linear and logistic regression, and to finding the order of time series.
蛙鸣声
发表于 2025-3-23 18:02:47
Gian Paolo Cimellaro Ph.D., P.E.,Marta Piquéproperties of the most important robust methods for regression..The second part is devoted to robust model selection. We present robust versions of parametric model selection criteria as well as nonparametric techniques based on cross-validation.
Cabg318
发表于 2025-3-24 00:23:10
Robust Regression Methods and Model Selectionproperties of the most important robust methods for regression..The second part is devoted to robust model selection. We present robust versions of parametric model selection criteria as well as nonparametric techniques based on cross-validation.
duplicate
发表于 2025-3-24 02:53:20
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magnanimity
发表于 2025-3-24 08:13:14
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ASTER
发表于 2025-3-24 13:53:34
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躺下残杀
发表于 2025-3-24 15:14:23
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Glucose
发表于 2025-3-24 21:17:14
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MOAN
发表于 2025-3-25 01:23:01
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