Optimal Experimental Design A Concise Introduction for Researchers /

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 particul...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: López-Fidalgo, Jesús (Tekijä)
Yhteisötekijä: SpringerLink (Online service)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Painos:1st ed. 2023.
Sarja:Lecture Notes in Statistics, 226
Aiheet:
Linkit:https://doi.org/10.1007/978-3-031-35918-7
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-35918-7
003 DE-He213
005 20260906080450.0
007 cr nn 008mamaa
008 230912s2023 sz | o |||| 0|eng d
020 |a 9783031359187  |9 978-3-031-35918-7 
024 7 |a 10.1007/978-3-031-35918-7  |2 doi 
050 4 |a QA279-279.2 
072 7 |a PBT  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
072 7 |a PBT  |2 thema 
082 0 4 |a 519.57  |2 23 
100 1 |a López-Fidalgo, Jesús.  |e author.  |0 (orcid)0000-0001-7502-8188  |1 https://orcid.org/0000-0001-7502-8188  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Optimal Experimental Design  |h [electronic resource] :  |b A Concise Introduction for Researchers /  |c by Jesús López-Fidalgo. 
250 |a 1st ed. 2023. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2023. 
300 |a 1 online resource (XVIII, 216 p. 33 illus.).  |b 24 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
341 0 |b Table of contents navigation  |2 onix 
341 0 |b Single logical reading order  |2 onix 
341 0 |b Short alternative textual descriptions  |2 onix 
341 0 |b Use of colour is Not sole means of conveying information  |2 onix 
341 0 |b Use of high contrast between text and background colour  |2 onix 
341 0 |b Next / Previous structural navigation  |2 onix 
341 0 |b All Non-decorative content supports reading without sight  |2 onix 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Statistics,  |x 2197-7186 ;  |v 226 
505 0 |a Preface -- Motivating Introduction -- Linear Models -- Nonlinear Models -- Bayesian Optimal Designs -- Hot Topics -- Real Case Examples -- Appendices -- References -- Index. 
520 |a 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. 
532 8 |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility 
532 8 |a Inaccessible, or known limited accessibility 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
588 |a Print version record. 
650 0 |a Experimental design. 
650 0 |a Statistics . 
650 0 |a Mathematical statistics  |x Data processing. 
650 0 |a Biometry. 
650 1 4 |a Design of Experiments. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics and Computing. 
650 2 4 |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Biostatistics. 
650 2 4 |a Bayesian Inference. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031359170 
776 0 8 |i Printed edition:  |z 9783031359194 
830 0 |a Lecture Notes in Statistics,  |x 2197-7186 ;  |v 226 
856 4 0 |u https://doi.org/10.1007/978-3-031-35918-7 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)