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Optimal Experimental Design : A Concise Introduction for Researchers / by Jesús López-Fidalgo.
Springer Nature - Springer Mathematics and Statistics eBooks 2023 English International Available online
View online- Format:
- Book
- Author/Creator:
- López-Fidalgo, Jesús, author.
- Series:
- Lecture Notes in Statistics, 2197-7186 ; 226
- Language:
- English
- Subjects (All):
- Experimental design.
- Statistics.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Biometry.
- Design of Experiments.
- Statistical Theory and Methods.
- Statistics and Computing.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Biostatistics.
- Bayesian Inference.
- Local Subjects:
- Design of Experiments.
- Statistical Theory and Methods.
- Statistics and Computing.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Biostatistics.
- Bayesian Inference.
- Physical Description:
- 1 online resource (XVIII, 216 p. 33 illus., 24 illus. in color.)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
- Summary:
- 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.
- Contents:
- Preface
- Motivating Introduction
- Linear Models
- Nonlinear Models
- Bayesian Optimal Designs
- Hot Topics
- Real Case Examples
- Appendices
- References
- Index.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 3-031-35918-6
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