The Planning and Analysis of Experiments with Continuous or Categorical Response
Buch, Englisch, 465 Seiten, Paperback, Format (B × H): 170 mm x 244 mm, Gewicht: 821 g
ISBN: 978-3-642-52500-1
Verlag: Springer
This book is a translation of the up-dated version of my German textbook that was written parallel to my lecture "Design of Experiments" which I held at the University of Munich. It was often called to my attention by statisticians in the pharmaceutical in dustry, that there is a need for a summarizing and standardized representation of the design and analysis of experiments, that includes the different aspects of classical theory for continuous response and of modern procedures for categori cal and especially correlated response, as well as more complex designs, as for example cross-over and repeated measures. My staff and graduate students played an essential part in the preparation of the manuscript. They wrote the text in well-tried precision (Andreas Fie ger), worked out examples (Andreas Fieger, Christian Kastner), and prepared several sections in this book (Ulrike Feldmeier, Sabina Illi, Elke Ortmann, An drea Schopp, Irmgard Strehler, Christian Kastner, Oliver Loch). I am appreciative of the efforts of those who assisted in the preparation of the English version. In particular, I would like to thank Sabina Illi and Oliver Loch, as well as V.K. Srivastava (University of Lucknow, India) for their careful reading of the English version and invaluable suggestions.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Pharmaindustrie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
Contents: Introduction.- Comparison of Two Samples.- The Linear Regression Model.- Single-Factor Experiments with Fixed and Random Effects.- More Restrictive Designs.- Multifactor Experiments.- Repeated Measures Model.- Cross-Over Design.- Statistical Analysis of Incomplete Data.- Models for Categorical Response.
