Pharmaceutical Experimental Design and Interpretation discusses the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis.

Features:

• Offers new sections on neural networks, artificial intelligence, and fractional designs and optimization techniques
• Contains an updated, sub-divided bibliography
• Takes a practice-orientated approach using current case studies to illustrate important concepts
• Delivers a clear understanding of statistical approaches without repeating information from older statistics textbooks
• Supplies appendices on statistical tables, computer programs in BASIC and MINITAB Commands, sequential analysis grids, and matrices

Contents

1. Introduction to Experimental Design
2. Comparison of Mean Values
3. Non-parametric Treatments
4. Correlation and Regression
5. Multivariate Methods
6. Factorial Design of Experiments
7. Model-dependent Optimization
8. Sequential Methods and Model-independent Optimization
9. Experimental Designs for Mixtures
10. Artificial Neural Networks and Experimental Design

Appendices

• Statistical Tables
• Matrices

Index

click here to see books • videos • cd-roms of related interest