eBook, PDF

Screening (eBook, PDF)

Methods for Experimentation in Industry, Drug Discovery, and Genetics

Redaktion: Dean, Angela; Lewis, Susan

Beschreibung

This book covers three areas of screening in various guises: Industry, Chemical/Pharmaceutical, and Genetic/Medical. This book brings together accounts by leading international experts that are essential reading for those working in fields such as industrial quality improvement, engineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 2.45MB

Barrierefreiheit

• Text-to-Speech

Autor

Angela Dean, Ohio State University, OH, USA / Susan Lewis, University of Southampton, Highfield, UK

Produktdetails

• Verlag: Springer US
• Seitenzahl: 332
• Erscheinungstermin: 28. Juli 2006
• Englisch
• ISBN-13: 9780387280141
• Artikelnr.: 37286784

Rezensionen

From the reviews:

"This is an excellent aggregation of fourteen papers about screening, covering general areas. It includes recent work and provides first class summaries of various topics. The fourteen chapters have about twenty-two pages of references between them, helping the reader to delve further as needed. It is definitely an excellent library selection ... ." (N. R. Draper, Short Book Reviews, Vol. 26 (2), 2006)

"The book provides a comprehensive and accessible overview of historical and modern screening approaches, including design generation strategies, analysis methods, visualization techniques, and gives many examples to illustrate the theory developed. ...The book is an important summary of the work of key

researchers in this area and will be a valuable addition to the reference shelf of practioners and researchers alike." (Christine M. Anderson-Cook, Journal of the American Statistical Association, Vol. 102, No. 477, 2007)

"Due to the nontechnical nautre of most of the chapters, this book is a great place for interested readers to start learning about the subject of screening experiments. Each chapter is concluded with a listing of references, so that finding follow-up reading is easy. I can genuinely recommend this book to statisticians of all levels and to numerically minded practitioners. I would especially suggest the book to any graduate student embarking on a research program on some topic related to screening experiments." (Editor, Biometrics, December 2006)