Pharmaceutical Experimental Design and Interpretation
2nd Edition
Published on 20. January 2006
Book
Hardback
256 pages
978-0-415-29901-5 (ISBN)
Description
Completely revised and updated, Pharmaceutical Experimental Design and Interpretation, Second Edition explains the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks, artificial intelligence, fractional designs, and optimization techniques, this source will prove invaluable to anyone involved in the design and execution of pharmaceutical research studies and the interpretation of study data.
More details
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Professional Practice & Development
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
552 gr
ISBN-13
978-0-415-29901-5 (9780415299015)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
N. Anthony Armstrong
Pharmaceutical Experimental Design and Interpretation
Book
09/2019
2nd Edition
CRC Press
€95.80
Shipment within 15-20 days
N. Anthony Armstrong
Pharmaceutical Experimental Design and Interpretation
E-Book
01/2006
2nd Edition
CRC Press
€89.99
Available for download
N. Anthony Armstrong
Pharmaceutical Experimental Design and Interpretation
E-Book
01/2006
2nd Edition
CRC Press
€89.99
Available for download
Previous edition
N. Anthony Armstrong | K. C. James
Pharmaceutical Experimental Design And Interpretation
Book
12/1996
1st Edition
Taylor & Francis
€138.65
Article exhausted; check for reprint
Person
Armstrong, N. Anthony
Content
Introduction to Experimental Design. Comparison of Mean Values. Non-parametric Treatments. Correlation and Regression. Multivariate Methods. Cluster and Discrimination Analysis. Principal Components and Factor Analysis. Sequential Analysis. Factorial Design of Experiments. Model-dependent Optimization and Response Surface Methodology. Model-independent Optimization. Experimental Designs for Mixtures Appendix 1: Statistical Tables. Appendix 2: Computer Programs in BASIC and MINITAB Commands. Appendix 3: Sequential Analysis Grids. Appendix 4: Matrices