This book provides the first time user of statistics with an understanding of how and why statistical experimental design and analysis can be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments.
Table of Contents
1. Statistical Problem Solving 2. Optimization of In Vivo Production of Monoclonal Antibodies 3. Clear Signal Designs 4. Separating Signals from the Noise 5. Selecting an Experimental Design 6. Transformations 7. Mixed-Level Designs 8. Strategies for Experimenters 9. Case History: Stability of a Microbead-Based Immunoassay