FETUS
发表于 2025-3-21 16:59:39
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ALE
发表于 2025-3-22 00:11:21
Michael J. Grimble,Paweł MajeckiShows industrial engineers how to apply nonlinear control theory in real-world systems.Teaches students a comprehensive range of simple-to-apply techniques for nonlinear control.MATLAB toolbox with pl
contrast-medium
发表于 2025-3-22 04:03:58
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Harridan
发表于 2025-3-22 05:43:44
https://doi.org/10.1007/978-1-4471-7457-8Aerospace Engineering; Automotive Control; Control; Control Applications; Control Engineering; MATLAB®; Ma
forebear
发表于 2025-3-22 12:16:39
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
PLIC
发表于 2025-3-22 15:19:23
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
军械库
发表于 2025-3-22 18:38:36
Michael J. Grimble,Paweł Majeckistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
Conclave
发表于 2025-3-22 21:56:42
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Acetaminophen
发表于 2025-3-23 04:20:34
stics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model choice, hierarchical and empirical Bayes modeling, Monte Carlo integration in
indoctrinate
发表于 2025-3-23 09:08:44
Michael J. Grimble,Paweł Majecki the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics such as complete class theorems, the Stein effect, Bayesian model