Joachim Kunert & Christine H. Müller 
mODa 11 – Advances in Model-Oriented Design and Analysis [PDF ebook] 
Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016

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This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.

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Sobre o autor

Joachim Kunert is Professor of Statistics with Applications in Natural Sciences at TU Dortmund University. He has published over 60 papers in scientific journals and served as editor of two special issues and one book.

Christine Müller is Professor of Statistics with Applications in Engineering Sciences at TU Dortmund University. She is author and coauthor of two books and has published over 60 papers in scientific journals. She is coordinating editor and editor-in-chief of Statistical Papers and the president of the Deutsche Arbeitsgemeinschaft Statistik, an umbrella society of German statistics societies.
Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is author, or coauthor, of six books and co-editor of a further six, including the Proceedings of m ODa 5, 6, 9 and 10. In addition, he has published over 200 papers in scientific journals. He is an (elected) member of the International Statistical Institute and a fellow of the American Statistical Association.

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Língua Inglês ● Formato PDF ● Páginas 254 ● ISBN 9783319312668 ● Tamanho do arquivo 3.8 MB ● Editor Joachim Kunert & Christine H. Müller ● Editora Springer International Publishing ● Cidade Cham ● País CH ● Publicado 2016 ● Carregável 24 meses ● Moeda EUR ● ID 4903377 ● Proteção contra cópia DRM social

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