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Optimal Experimental Design: A Concise Introduction for Researchers /
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Catalogue Information
Field name
Details
Dewey Class
519.57
Title
Optimal Experimental Design (EBook :) : A Concise Introduction for Researchers / / by Jesús López-Fidalgo.
Author
López-Fidalgo, Jesús
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2023.
Publication
Cham : : Springer Nature Switzerland : : Imprint: Springer, , 2023.
Physical Details
XVIII, 216 p. 33 illus., 24 illus. in color. : online resource.
Series
Lecture Notes in Statistics
2197-7186 ; ; 226
ISBN
9783031359187
Summary Note
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 note
Preface -- Motivating Introduction -- Linear Models -- Nonlinear Models -- Bayesian Optimal Designs -- Hot Topics -- Real Case Examples -- Appendices -- References -- Index.
Mode of acces to digital resource
Digital reproduction.-
Cham :
Springer International Publishing,
2023. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-031-35918-7
Links to Related Works
Subject References:
Bayesian Inference
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Biometry
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Biostatistics
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Design of Experiments
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Experimental design
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Mathematical Statistics
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Statistical Theory and Methods
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Statistics
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Statistics and Computing
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Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Authors:
author
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López-Fidalgo, Jesús
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Corporate Authors:
SpringerLink (Online service)
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Series:
Lecture Notes in Statistics
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Classification:
519.57
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