Since the book’s initial publication in 1993, readers have used its methods to derive optimal designs on the circle, optimal mixture designs, and optimal designs in other statistical models. Using local linearization techniques, the methods described in the book prove useful even for nonlinear cases, in identifying practical designs of experiments.
This book is indispensable for anyone involved in planning statistical experiments, including mathematical statisticians, applied statisticians, and mathematicians interested in matrix optimization problems.
|Differential Geometry and the Calculus of Variations|
Автор: Robert Hermann
|Computational Methods for Modeling of Nonlinear Systems|
Автор: Anatoli Torokhti
|Real-Time Model Predictive Control via Multi-Parametric Programming|
Автор: Michal Kvasnica
|The Calculus of Variations and Functional Analysis With Optimal Control and Applications in Mechanics|
Автор: L.P. Lebedev
|Traditional Henna Designs|