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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.
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
Subir Ghosh, William R. Schucany, William B. Smith, USA) Ghosh, Subir (University of California-Riverside, USA) Schucany, William R. (Southern Methodist University, Dallas, Texas, USA) Smith, William B. (Texas A&M University, College Station, Texas
Andre I. Khuri, John A. Cornell, USA) Khuri, Andre I. (Professor Emeritus, Department of Statistics, University of Florida, Gainesville, USA) Cornell, John A. (University of Florida, Gainesville
Sebastian B. Reiche, Günter K. Stahl, Mark E. Mendenhall, Gary R. Oddou, Gunter K. Stahl, USA) Mendenhall, Mark E. (University of Tennessee at Chattanooga, USA) Oddou, Gary R. (California State University San Marcos
Clive Upton, William A. Kretzschmar, Jr., UK) Upton, Clive (University of Leeds, USA) Kretzschmar, Jr., William A. (University of Georgia, William A. Kretzschmar Jr
E. Desmond Goddard, James V. Gruber, USA) Goddard, E. Desmond (Cambridge, Maryland, USA) Gruber, James V. (Amerchol Corporation, Bopund Brook, New Jersey
S. H. Y. Wong, Wong H. Y. Wong, S. H. y. Wong, Wong H. y. Wong, Steven H. Y. Wong, Steven H.Y. Wong, USA) Wong, Steven H.Y. (Medical College of Wisconsin, Milwaukee, WI