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＜電子ブック＞
Optimal Experimental Design : A Concise Introduction for Researchers / by Jesús López-Fidalgo
(Lecture Notes in Statistics. ISSN:21977186 ; 226)

版	1st ed. 2023.
出版者	Cham : Springer Nature Switzerland : Imprint: Springer
出版年	2023
本文言語	英語
大きさ	XVIII, 216 p. 33 illus., 24 illus. in color : online resource
著者標目	*López-Fidalgo, Jesús author SpringerLink (Online service)
件　名	LCSH:Experimental design LCSH:Statistics  LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Biometry FREE:Design of Experiments FREE:Statistical Theory and Methods FREE:Statistics and Computing FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Biostatistics FREE:Bayesian Inference
一般注記	Preface -- Motivating Introduction -- Linear Models -- Nonlinear Models -- Bayesian Optimal Designs -- Hot Topics -- Real Case Examples -- Appendices -- References -- Index This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It presents the common concepts and techniques for linear and nonlinear models as well as Bayesian optimal designs. The last two chapters are devoted to particular themes of interest, including recent developments and hot topics in optimal experimental design, and real-world applications. Numerous examples and exercises are included, some of them with solutions or hints, as well as references to the existing software for computing designs. The book is primarily intended for graduate students and young researchers in statistics and applied mathematics who are new to the field of optimal experimental design. Given the applications and the way concepts and results are introduced, parts of the text will also appeal to engineers and other applied researchers HTTP:URL=https://doi.org/10.1007/978-3-031-35918-7

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