Helge Toutenburg

Experimental Design and Model Choice

The Planning and Analysis of Experiments with Continuous or Categorical Response

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Physica-Verlag / Springer, Berlin
• 1995
• Seitenzahl: 480
• Erscheinungstermin: 13. April 2014
• Englisch
• Abmessung: 244mm x 170mm x 26mm
• Gewicht: 820g
• ISBN-13: 9783642525001
• ISBN-10: 3642525008
• Artikelnr.: 40917595

Autorenporträt

Helge Toutenburg studierte (1961-1966) und promovierte (1969) in Berlin, habilitierte in Dortmund (1989). Er ist seit 1991 Professor für Statistik an der Ludwig-Maximilians-Universität München.

Inhaltsangabe

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.