Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties / Luc Pronzato, Andrej P�azman.
Material type:
TextSeries: Lecture notes in statistics (Springer-Verlag) ; v. 212.Publication details: New York : Springer, c2013.Description: xv, 399 p. : ill. (some col.) ; 24 cmISBN: - 9781461463627 (softcover : acidfree paper)
- 1461463629 (softcover : acidfree paper)
- 000SA.2 23 P965
- QA279 .P748 2013
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.2 P965 (Browse shelf(Opens below)) | Available | 134685 |
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| 000SA.2 P398 Design and analysis of scientific experiments | 000SA.2 P398 Design and analysis of scientific experiments | 000SA.2 P484 Design and analysis of experiments | 000SA.2 P965 Design of experiments in nonlinear models : | 000SA.2 Q3 Design and analysis of experiment | 000SA.2 Q3 Design and analysis of experiment | 000SA.2 R142 Block designs |
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.
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