Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties

By Andrej Pázman

Book Overview

Introduction.- Asymptotic designs and uniform convergence. Asymptotic properties of the LS estimator.- Asymptotic properties of M, ML and maximum a posteriori estimators.- Local optimality criteria based on asymptotic normality.- Criteria based on the small-sample precision of the LS estimator.- Identifiability, estimability and extended optimality criteria.- Nonlocal optimum design.- Algorithms-a survey.- Subdifferentials and subgradients.- Computation of derivatives through sensitivity functions.- Proofs.- Symbols and notation.- List of labeled assumptions.- References.

• Format: Paperback
• Language: English
• ISBN: 1461463629
• ISBN13: 9781461463627
• Release Date: April 2013
• Publisher: Springer
• Length: 399 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.9" x 6.1" x 9.0"