Design of Experiments in Nonlinear Models - Lecture Notes in Statistics
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Published By Springer New York

9781461463627, 9781461463634

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Local Optimality Criteria Based on Asymptotic Normality

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_5 ◽

2013 ◽

pp. 105-165

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Asymptotic Normality ◽

Optimality Criteria ◽

Local Optimality

Asymptotic Properties of the LS Estimator

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_3 ◽

2013 ◽

pp. 21-77 ◽

Cited By ~ 1

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Asymptotic Properties ◽

Ls Estimator

Algorithms: A Survey

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_9 ◽

2013 ◽

pp. 277-333

Author(s):

Luc Pronzato ◽

Andrej Pázman

Identifiability, Estimability, and Extended Optimality Criteria

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_7 ◽

2013 ◽

pp. 187-233

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Optimality Criteria ◽

Extended Optimality

Asymptotic Designs and Uniform Convergence

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_2 ◽

2013 ◽

pp. 11-20

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Uniform Convergence

Introduction

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_1 ◽

2013 ◽

pp. 1-9

Author(s):

Luc Pronzato ◽

Andrej Pázman

Asymptotic Properties of M, ML, and Maximum A Posteriori Estimators

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_4 ◽

2013 ◽

pp. 79-104 ◽

Cited By ~ 1

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Asymptotic Properties ◽

Maximum A Posteriori ◽

A Posteriori

Criteria Based on the Small-Sample Precision of the LS Estimator

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_6 ◽

2013 ◽

pp. 167-186 ◽

Cited By ~ 1

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Small Sample ◽

Ls Estimator

Nonlocal Optimum Design

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics ◽

10.1007/978-1-4614-6363-4_8 ◽

2013 ◽

pp. 235-275

Author(s):

Luc Pronzato ◽

Andrej Pázman

Keyword(s):

Optimum Design

Design of Experiments in Nonlinear Models - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Local Optimality Criteria Based on Asymptotic Normality

Asymptotic Properties of the LS Estimator

Algorithms: A Survey

Identifiability, Estimability, and Extended Optimality Criteria

Asymptotic Designs and Uniform Convergence

Introduction

Asymptotic Properties of M, ML, and Maximum A Posteriori Estimators

Criteria Based on the Small-Sample Precision of the LS Estimator

Nonlocal Optimum Design

Design of Experiments in Nonlinear Models - Lecture Notes in Statistics
Latest Publications