TY  - BOOK
AU  - Pronzato,Luc
AU  - P�azman,Andrej
TI  - Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties 
T2  - Lecture notes in statistics,
SN  - 9781461463627 (softcover : acidfree paper)
AV  - QA279 .P748 2013
U1  - 000SA.2 23
PY  - 2013///
CY  - New York
PB  - Springer
KW  - Experimental design
KW  - Asymptotic efficiencies (Statistics)
KW  - Regression analysis
KW  - Nonlinear theories
N1  - Includes bibliographical references (p. 369-387) and indexes; 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
UR  - http://www.loc.gov/catdir/enhancements/fy1404/2013932292-b.html
UR  - http://www.loc.gov/catdir/enhancements/fy1404/2013932292-d.html
UR  - http://www.loc.gov/catdir/enhancements/fy1404/2013932292-t.html
ER  -