改变 发表于 2025-3-25 04:44:19

Paul P. B. Eggermont,Vincent N. LaRiccians many improvements concerning the theoretical (mathematical) information, as well as new topics, using enlarged and updated references. We considered only ordinary differential equations and their solutions in an analytical frame, leaving aside their numerical approach. Compared to the Romanian ed

古文字学 发表于 2025-3-25 11:00:36

Paul P. B. Eggermont,Vincent N. LaRiccians many improvements concerning the theoretical (mathematical) information, as well as new topics, using enlarged and updated references. We considered only ordinary differential equations and their solutions in an analytical frame, leaving aside their numerical approach. Compared to the Romanian ed

CAB 发表于 2025-3-25 12:30:40

Paul P. B. Eggermont,Vincent N. LaRiccians many improvements concerning the theoretical (mathematical) information, as well as new topics, using enlarged and updated references. We considered only ordinary differential equations and their solutions in an analytical frame, leaving aside their numerical approach. Compared to the Romanian ed

富饶 发表于 2025-3-25 17:47:46

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octogenarian 发表于 2025-3-25 23:49:33

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Fraudulent 发表于 2025-3-26 02:05:01

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Essential 发表于 2025-3-26 04:53:04

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Meditate 发表于 2025-3-26 09:40:29

Sieves,the .. space; see § 12.2. Either way, a sieved estimator is defined as the solution to a minimization problem, e.g., least-squares or maximum likelihood, with the solution constrained to be a member of the sieve.

使入迷 发表于 2025-3-26 16:41:17

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defeatist 发表于 2025-3-26 18:13:23

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查看完整版本: Titlebook: Maximum Penalized Likelihood Estimation; Volume II: Regressio Vincent N. LaRiccia,Paul P.‘Eggermont Book 2009 Springer-Verlag New York 2009