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Design of Experiments in Nonlinear Models|Luc Pronzato

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

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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.

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Details

  • ISBN-13: 9781461463627
  • ISBN-10: 1461463629
  • Publisher: Springer
  • Publish Date: April 2013
  • Dimensions: 9 x 6.1 x 0.9 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 399

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