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Titlebook: Design of Experiments in Nonlinear Models; Asymptotic Normality Luc Pronzato,Andrej Pázman Book 2013 Springer Science+Business Media New Yo

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發(fā)表于 2025-3-21 16:29:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Design of Experiments in Nonlinear Models
副標題Asymptotic Normality
編輯Luc Pronzato,Andrej Pázman
視頻videohttp://file.papertrans.cn/269/268712/268712.mp4
概述Covers many important aspects of experimental design, especially as it relates to unpredictable models and data sets.Special section on small samples sizes and missing/truncated and imputed data.Provi
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: Design of Experiments in Nonlinear Models; Asymptotic Normality Luc Pronzato,Andrej Pázman Book 2013 Springer Science+Business Media New Yo
描述.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 to help them designing their experiments.?.The first three chapters expose the?connections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters,?models with heteroscedastic errors, etc. Classical optimality criteria?based on those asymptotic properties are then presented thoroughly in a special chapter.?.Three chapters are dedicated to specific?issues raised by nonlinear models. The construction of design?criteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presen
出版日期Book 2013
關鍵詞Asymptotic Normality; Experimental Design; LS Estimator; Non-Linear Regression; Regression Model; Small S
版次1
doihttps://doi.org/10.1007/978-1-4614-6363-4
isbn_softcover978-1-4614-6362-7
isbn_ebook978-1-4614-6363-4Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer Science+Business Media New York 2013
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Design of Experiments in Nonlinear Models978-1-4614-6363-4Series ISSN 0930-0325 Series E-ISSN 2197-7186
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Friedr. Vieweg & Sohn Verlagskatalogagments of this information can be obtained by making observations within some elementary experiments called .. We shall confound the action of making an experiment with the variables that characterize this action and use the term . for both.
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Luc Pronzato,Andrej PázmanCovers many important aspects of experimental design, especially as it relates to unpredictable models and data sets.Special section on small samples sizes and missing/truncated and imputed data.Provi
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https://doi.org/10.1007/978-1-4614-6363-4Asymptotic Normality; Experimental Design; LS Estimator; Non-Linear Regression; Regression Model; Small S
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978-1-4614-6362-7Springer Science+Business Media New York 2013
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