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Statistical analysis of designed experiments by Helge Toutenburg

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Published by Springer in New York .
Written in English

Subjects:

  • Experimental design,
  • Versuchsplanung,
  • Experimentauswertung,
  • Statistik

Book details:

Edition Notes

Includes bibliographical references (p. [599]-609) and index.

StatementHelge Toutenburg, Shalabh
SeriesSpringer texts in statistics, Springer texts in statistics
ContributionsShalabh
Classifications
LC ClassificationsQA279 .T68 2009
The Physical Object
Paginationxviii, 615 p. :
Number of Pages615
ID Numbers
Open LibraryOL24913633M
ISBN 101441911472, 1441911480
ISBN 109781441911476, 9781441911483
LC Control Number2009934435
OCLC/WorldCa436030791

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Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. Cited by: Mar 18,  · Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. This book is the second English edition of my German textbook that was originally written parallel to my lecture “Design of Experiments” which was held at the University of Munich. It is thought to be a type of resource/reference book which contains statistical methods used by - searchersin applied areas. Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied.

Get this from a library! Statistical analysis of designed experiments. [Helge Toutenburg] -- "This volume will be an important reference book for graduate students, for university teachers, and for statistical researchers in the pharmaceutical industry and for clinical research in medicine. Sep 12,  · Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social happylifekennel.com: Wiley. Helge Toutenburg is Professor of Statistics at the University of Munich. He has written nineteen books on linear models, statistical methods in quality engineering, and the analysis of designed experiments. He works on applications of statistics to the fields of medicine and engineering. A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and.

A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a Price: $ About This Book. Author's Note: This book provides a balanced coverage of underlying theory of statistical analysis of designed experiments and its numerous applications. Data sets from real life studies are used throughout, and graphical as well as formal analyses are illustrated using MINITAB software. Mar 17,  · Medical Book Statistical Analysis of Designed Experiments, Third Edition For any design (independent and matched-pair response) the parametric and nonparametric tests depending on the data level are given. Complex designs, such as, for example, cross-over and repeated measures, are included at an introductory and advanced manner. Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of.