不真
发表于 2025-3-25 05:56:52
Nonlinear exponential families,The nonlinear regression model . considered in previous chapters, can be presented equivalently as a family of densities . where f (.|.) is the normal probability density of ., given ..
自负的人
发表于 2025-3-25 09:12:31
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Hla461
发表于 2025-3-25 15:40:59
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Heterodoxy
发表于 2025-3-25 19:40:04
Nonlinear regression models: computation of estimators and curvatures,. This is a classical method, however, as stated in , the method is still advisable in applications. The reader interested in more detailed information on the various computational methods is referred to .
群岛
发表于 2025-3-25 20:22:55
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不能仁慈
发表于 2025-3-26 01:04:34
en added on the large topic ofnonlinear exponential families..The volume will be of interest to both experts in the field ofnonlinear statistical modelling and to those working in theidentification of models and optimization, as well as to statisticiansin general..978-90-481-4262-0978-94-017-2450-0
Expurgate
发表于 2025-3-26 06:02:09
ear regression model..Among the aspects which are considered are linear properties ofnonlinear models, multivariate nonlinear regression, intrinsic andparameter effect curvature, algorithms for calculating theL.2.-estimator and both local and global approximation. Inaddition to this a chapter has be
不近人情
发表于 2025-3-26 09:52:15
Book 1993sion model..Among the aspects which are considered are linear properties ofnonlinear models, multivariate nonlinear regression, intrinsic andparameter effect curvature, algorithms for calculating theL.2.-estimator and both local and global approximation. Inaddition to this a chapter has been added o
Motilin
发表于 2025-3-26 14:45:56
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小口啜饮
发表于 2025-3-26 19:00:05
Univariate regression models,the model . is considered. The parameter space is a bounded interval [., .]. The observed vector y remains multidimensional, . ∈ .. The mapping . is assumed to be continuous, and twice continuously differentiable on (., .). Further, the model is assumed to be regular, i.e. . for every . ∈ (., .).