Optimal experimental design : a concise introduction for researchers / Jess︢ ︣Lp̤ez-Fidalgo.

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Optimal experimental design : a concise introduction for researchers / Jess︢ ︣Lp̤ez-Fidalgo.

9783031359187 (electronic bk.)
3031359186 (electronic bk.)
9783031359170
3031359178

Cham : Springer, 2023.

English

1 online resource (xviii, 216 pages) : illustrations (some color).

10.1007/978-3-031-35918-7 doi

QA279

519.5/7

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.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed September 20, 2023).

Lecture notes in statistics (Springer-Verlag) ; v. 226.

Print version: 9783031359170

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