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Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties

著者: Luc Pronzato; Andrej Pázman
出版商: New York, NY : Springer, ©2013.
丛书: Lecture notes in statistics (Springer-Verlag), v.212.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
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"Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
Pronzato, Luc, 1959-
Design of experiments in nonlinear models.
New York : Springer, c2013
(DLC) 2013932292
(OCoLC)822018807
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Luc Pronzato; Andrej Pázman
ISBN: 9781461463634 1461463637
OCLC号码: 840485712
描述: 1 online resource (xv, 399 p.) : ill.
内容: Introduction --
Asymptotic Designs and Uniform Convergence --
Asymptotic Properties of the LS Estimator --
Asymptotic Properties of M, ML, and Maximum A Posteriori Estimators --
Local Optimality Criteria Based on Asymptotic Normality --
Criteria Based on the Small-Sample Precision of the LS Estimator --
Identifiability, Estimability, and Extended Optimality Criteria --
Nonlocal Optimum Design --
Algorithms: A Survey.
丛书名: Lecture notes in statistics (Springer-Verlag), v.212.
责任: Luc Pronzato, Andrej Pázman.
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This book thoroughly explores connections between the asymptotic properties of estimators in parametric models and experimental design, focused on the estimation of a nonlinear function of the model  再读一些...

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From the reviews: "This book introduce basic concepts and discuss asymptotic properties of estimators in nonlinear models. ... a major emphasis of the book is on deriving the asymptotic properties of 再读一些...

 
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