Library of Congress |

Library of Congress

Matches in Library of Congress for { <http://lccn.loc.gov/2013932292> ?p ?o. }

Showing items 1 to 25 of 25 with 100 items per page.

2013932292 contributor B12830524.
2013932292 contributor B12830525.
2013932292 created "c2013.".
2013932292 date "2013".
2013932292 date "c2013.".
2013932292 dateCopyrighted "c2013.".
2013932292 description "Includes bibliographical references (p. 369-387) and indexes.".
2013932292 description "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.".
2013932292 extent "xv, 399 p. :".
2013932292 identifier "1461463629 (softcover : acid-free paper)".
2013932292 identifier "9781461463627 (softcover : acid-free paper)".
2013932292 isPartOf "Lecture notes in statistics (Springer-Verlag) ; v. 212.".
2013932292 isPartOf "Lecture notes in statistics, 0930-0325 ; v. 212".
2013932292 issued "2013".
2013932292 issued "c2013.".
2013932292 language "eng".
2013932292 publisher "New York : Springer,".
2013932292 subject "Asymptotic efficiencies (Statistics)".
2013932292 subject "Experimental design.".
2013932292 subject "Nonlinear theories.".
2013932292 subject "QA279 .P748 2013".
2013932292 subject "Regression analysis.".
2013932292 tableOfContents "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.".
2013932292 title "Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties / Luc Pronzato, Andrej Pázman.".
2013932292 type "text".