Foundations Of Optimum Experimental Design
Download Foundations Of Optimum Experimental Design full books in PDF, epub, and Kindle. Read online free Foundations Of Optimum Experimental Design ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Foundations of Optimum Experimental Design
Author | : Andrej Pázman |
Publsiher | : Springer |
Total Pages | : 256 |
Release | : 1986-01-31 |
Genre | : Computers |
ISBN | : UCAL:B4406690 |
Download Foundations of Optimum Experimental Design Book in PDF, Epub and Kindle
Introductory remarks about the experiment and its disign. The regression model and methods of estimation. The ordering of designs and the properties of variaces of estimates. Optimality critaria in the regression model. Iterative computation of optimum desings Design of experiments in particular cases. The functional model and measurements of physical fields.
Optimum Experimental Designs With SAS
Author | : Anthony Atkinson,Alexander Donev,Randall Tobias |
Publsiher | : Oxford University Press |
Total Pages | : 528 |
Release | : 2007-05-24 |
Genre | : Business & Economics |
ISBN | : 9780199296590 |
Download Optimum Experimental Designs With SAS Book in PDF, Epub and Kindle
Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported website.
Optimum Experimental Designs
![Optimum Experimental Designs](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Anthony Curtis Atkinson |
Publsiher | : Unknown |
Total Pages | : 328 |
Release | : 1992 |
Genre | : Experimental design |
ISBN | : OCLC:1176440995 |
Download Optimum Experimental Designs Book in PDF, Epub and Kindle
A well-designed experiment is an efficient learning resource. Because experiments in the field and in the laboratory cannot avoid random error, statistical methods are essential for their efficient design and analysis. This book presents the fundamentals of optimum experimental design theory.
Optimal Experimental Design
Author | : Jesús López-Fidalgo |
Publsiher | : Springer Nature |
Total Pages | : 228 |
Release | : 2023-10-14 |
Genre | : Mathematics |
ISBN | : 9783031359187 |
Download Optimal Experimental Design Book in PDF, Epub and Kindle
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.
Breakthroughs in Statistics
Author | : Samuel Kotz,Norman L. Johnson |
Publsiher | : Springer Science & Business Media |
Total Pages | : 678 |
Release | : 1993-06-11 |
Genre | : Mathematics |
ISBN | : 9780387940373 |
Download Breakthroughs in Statistics Book in PDF, Epub and Kindle
MODA 5 Advances in Model Oriented Data Analysis and Experimental Design
Author | : Anthony C. Atkinson,Luc Pronzato,Henry P. Wynn |
Publsiher | : Springer Science & Business Media |
Total Pages | : 297 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9783642589881 |
Download MODA 5 Advances in Model Oriented Data Analysis and Experimental Design Book in PDF, Epub and Kindle
This volume contains the majority of the papers presented at the 5th Inter national Workshop on Model-Oriented Data Analysis held in June 1998. This series started in March 1987 with a meeting on the Wartburg, Eisenach (Germany). The next three meetings were in 1990 (St Kyrik monastery, Bulgaria), 1992 (Petrodvorets, StPetersburg, Russia) and 1995 (Spetses, Greece). The main purpose of these workshops was to bring together lead ing scientists from 'Eastern' and 'Western' Europe for the exchange of ideas in theoretical and applied statistics, with special emphasis on experimen tal design. Now that the separation between East and West has become less rigid, this dialogue has, in principle, become much easier. However, providing opportunities for this dialogue is as vital as ever. MODA meetings are known for their friendly atmosphere, leading to fruitful discussions and collaboration, especially between young and senior scien tists. Indeed, many long term collaborations were initiated during these events. This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty, by the choice of location so that participants can live as a community, and, of course, through the care ful selection of scientific direction made by the Programme Committee.
Optimal Design of Experiments
Author | : Friedrich Pukelsheim |
Publsiher | : SIAM |
Total Pages | : 527 |
Release | : 2006-04-01 |
Genre | : Mathematics |
ISBN | : 9780898716047 |
Download Optimal Design of Experiments Book in PDF, Epub and Kindle
Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimization problem. Using tools from convex analysis, the problem is solved generally for a wide class of optimality criteria such as D-, A-, or E-optimality. The book then offers a complementary approach that calls for the study of the symmetry properties of the design problem, exploiting such notions as matrix majorization and the Kiefer matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block designs, exchangeable designs on the cube, rotatable designs on the sphere, and many other examples.
Optimum Designs for Multi Factor Models
Author | : Rainer Schwabe |
Publsiher | : Springer Science & Business Media |
Total Pages | : 132 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9781461240389 |
Download Optimum Designs for Multi Factor Models Book in PDF, Epub and Kindle
In real applications most experimental situations are influenced by a large number of different factors. In these settings the design of an experiment leads to challenging optimization problems, even if the underlying relationship can be described by a linear model. Based on recent research, this book introduces the theory of optimum designs for complex models and develops general methods of reduction to marginal problems for large classes of models with relevant interaction structures.