冒号
发表于 2025-3-25 06:38:55
Dietmar Seiffert,David J. Loskutoff difficult task. One approach is model selection, where, usually in a stepwise procedure, an optimal model is searched with respect to some (asymptotic) criterion such as AIC or BIC. A draw back of this approach is, that the reported post model selection estimates, especially for the standard errors
compel
发表于 2025-3-25 09:41:30
Robert W. Wissler,Akio Komatsu,Clifford Ko,Yoshiaki Kusumi,Dragoslava Vesselinovitchgap exists between the establishment of an organizational risk culture and the actual preparedness of organizations. The problem is twofold, as in the ongoing trend towards cyber-physical organizations, it touches both risk awareness and the communication about risks, to mitigate them during operati
PTCA635
发表于 2025-3-25 13:24:05
A. Roessner,E. Vollmer,E. Jaeger,J. Rauterberg,W. Böckerte when the ordered categories represent a progression through different stages, such as survival through various times. This particular model has the advantage of being a simple decomposition of a multinomial distribution into a succession of hierarchical binomial models. In a clustered data contex
engagement
发表于 2025-3-25 19:42:55
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OTHER
发表于 2025-3-25 23:41:17
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清醒
发表于 2025-3-26 00:55:42
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AVOID
发表于 2025-3-26 05:09:19
E. Betzrst after. In the univariate case, parametric models are easily fitted, whereas for non-parametric models, the mass is placed on some intervals, derived from the L and R points. Asymptotic results are simple for the former and complicated for the latter. This paper is a review describing the extensi
Fabric
发表于 2025-3-26 11:15:38
G. V. R. Bornudes R package, “frailtyHL” in CRAN, to fit various frailty This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in
令人悲伤
发表于 2025-3-26 13:35:41
Herbert Kuhludes R package, “frailtyHL” in CRAN, to fit various frailty This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in
ITCH
发表于 2025-3-26 18:35:12
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