Properties of optimal regression designs under the second-order least squares estimator

Chi-Kuang Yeh; Julie Zhou

doi:10.1007/s00362-018-01076-6

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Properties of optimal regression designs under the second-order least squares estimator

Chi-Kuang Yeh Julie Zhou

Year: 2019 Journal: Statistical Papers Vol: 62 (1)Pages: 75-92 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-018-01076-6

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Keywords:

Mathematics Applied mathematics Polynomial regression Equivalence (formal languages) Estimator Optimal design Generalized least squares Nonlinear regression Non-linear least squares Mathematical optimization Least-squares function approximation Linear regression Regression analysis Statistics Discrete mathematics

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Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Iterative Methods for Nonlinear Equations

Physical Sciences → Mathematics → Numerical Analysis

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Properties of optimal regression designs under the second-order least squares estimator

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