Model-Oriented Design of Experiments

Discover the essential techniques for effective experimental design in "Model-Oriented Design of Experiments," authored by experts in the field and published by Springer-Verlag New York Inc. in 2024. This second edition, featuring 131 pages of insightful content, delves into a variety of critical topics, including designs for nonlinear models, models with random parameters, and those with correlated observations. The book also explores innovative designs for model discrimination and addresses misspecified (contaminated) models, as well as designs in functional spaces. Ideal for readers with a moderate background in calculus, matrix algebra, and statistics, this comprehensive guide is perfect for both students and professionals seeking to enhance their understanding of experimental design methodologies. Equip yourself with the knowledge to tackle complex modeling challenges and optimize your research outcomes with this invaluable resource.