Functional Approach to Optimal Experimental Design / by Viatcheslav B. Melas
(Lecture Notes in Statistics ; 184)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | New York, NY : Springer New York |
| 出版年 | 2006 |
| 本文言語 | 英語 |
| 大きさ | X, 338 p : online resource |
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| 内容注記 | Fundamentals of the Optimal Experimental Design The Functional Approach Polynomial Models Trigonometrical Models D-Optimal Designs for Rational Models D-Optimal Designs for Exponential Models E- and c-Optimal Designs The Monod Model |
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| 一般注記 | The book presents a novel approach for studying optimal experimental designs. The functional approach consists of representing support points of the designs by Taylor series. It is thoroughly explained for many linear and nonlinear regression models popular in practice including polynomial, trigonometrical, rational, and exponential models. Using the tables of coefficients of these series included in the book, a reader can construct optimal designs for specific models by hand. The book is suitable for researchers in statistics and especially in experimental design theory as well as to students and practitioners with a good mathematical background. Viatcheslav B. Melas is Professor of Statistics and Numerical Analysis at the St. Petersburg State University and the author of more than one hundred scientific articles and four books. He is an Associate Editor of the Journal of Statistical Planning and Inference and Co-Chair of the organizing committee of the 1st–5th St. Petersburg Workshops on Simulation (1994, 1996, 1998, 2001 and 2005) |
| 著者標目 | *Melas, Viatcheslav B. author SpringerLink (Online service) |
| 件 名 | LCSH:Statistics LCSH:Computer simulation LCSH:Mathematical optimization FREE:Statistics FREE:Statistical Theory and Methods FREE:Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Statistics for Life Sciences, Medicine, Health Sciences FREE:Simulation and Modeling FREE:Optimization |
| 分 類 | DC23:519.5 |
| 巻冊次 | ISBN:9780387316109 
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| ISBN | 9780387316109 |
| URL | http://dx.doi.org/10.1007/0-387-31610-8 |
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