Engineering design work relies on the ability to predict system performance. A great deal of effort is spent producing models that incorporate knowledge of the

The Bayesian design approach is an experimental design technique which has the same objectives as standard experimental (full or fractional factorial) designs b

The optimal selection of experimental conditions is essential in maximizing the value of data for inference and prediction, particularly in situations where exp

Learn to apply modeling and parameter estimation tools and strategies to chemicalprocesses using your personal computer This book introduces readers to powerful

Optimized operating conditions for complex systems can be attained by using advanced combinations of numerical and statistical methodologies. One of the most ef