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Design of experiments in nonlinear models : asymptotic normality, optimality criteria and small-sample properties

저자: Luc Pronzato; Andrej Pázman
출판사: New York, NY : Springer, ©2013.
시리즈: Lecture notes in statistics (Springer-Verlag), v.212.
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
"Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
Pronzato, Luc, 1959-
Design of experiments in nonlinear models.
New York : Springer, c2013
(DLC) 2013932292
(OCoLC)822018807
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Luc Pronzato; Andrej Pázman
ISBN: 9781461463634 1461463637 1461463629 9781461463627
OCLC 번호: 840485712
설명: 1 online resource (xv, 399 p.) : ill.
내용: 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.
일련 제목: Lecture notes in statistics (Springer-Verlag), v.212.
책임: Luc Pronzato, Andrej Pázman.

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This book thoroughly explores connections between the asymptotic properties of estimators in parametric models and experimental design, focused on the estimation of a nonlinear function of the model  더 읽기…

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From the reviews: "This book introduce basic concepts and discuss asymptotic properties of estimators in nonlinear models. ... a major emphasis of the book is on deriving the asymptotic properties of 더 읽기…

 
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