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Chemometrics and Intelligent Laboratory Systems, 1995
Abstract Many classical symmetrical designs have desirable characteristics, one of which is called D-optimality. The D-optimality concept can also be applied to select a design when the classical symmetrical designs cannot be used, such as when the experimental region is not regular in shape, when the number of experiments chosen by a classical ...
P.F. de Aguiar +4 more
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Abstract Many classical symmetrical designs have desirable characteristics, one of which is called D-optimality. The D-optimality concept can also be applied to select a design when the classical symmetrical designs cannot be used, such as when the experimental region is not regular in shape, when the number of experiments chosen by a classical ...
P.F. de Aguiar +4 more
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D-Optimal Designs with Interaction Coverage
Journal of Statistical Theory and Practice, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hoskins, Dean S. +2 more
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On d-optimal designs for binary data
Journal of Statistical Planning and Inference, 1988We use the criterion of D-optimality of the Fisher information matrix to derive optimal vectors for binary data. Some concepts of totally positive functions and Polya functions of order II are used to derive properties of the determinant of the Fisher information matrix arising in quantal response bioassay and attribute life testing models. As is often
Khan, M. K., Yazdi, A. A.
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D-optimal fractional factorial designs
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chiu, Wan-Yi, John, Peter W. M.
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Minimax D‐Optimal Designs for the Logistic Model
Biometrics, 2000Summary. We propose an algorithm for constructing minimax D‐optimal designs for the logistic model when only the ranges of the values for both parameters are assumed known. Properties of these designs are studied and compared with optimal Bayesian designs and Sitter's (1992, Biometrics, 48, 1145–1155) minimax D‐optimal kk‐designs.
King, Joy, Wong, Weng-Kee
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Comparison of Robust Criteria for D-Optimal Designs
Journal of Biopharmaceutical Statistics, 2012This study compared the performance of a local and three robust optimality criteria in terms of the standard error for a one-parameter and a two-parameter nonlinear model with uncertainty in the parameter values. The designs were also compared in conditions where there was misspecification in the prior parameter distribution.
Foo, Lee Kien +3 more
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NOTE ON REGULAR D-OPTIMAL MATRICES
Chinese Annals of Mathematics, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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D-optimal designs for weighted polynomial regression
Journal of Statistical Planning and Inference, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chang, Fu-Chuen, Lin, Ge-Chen
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D-optimal designs for correlated random vectors
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masaro, Joe, Wong, Chi Song
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Marginally restricted sequential D‐optimal designs
Canadian Journal of Statistics, 2008AbstractIn many experiments, not all explanatory variables can be controlled. When the units arise sequentially, different approaches may be used. The authors study a natural sequential procedure for “marginally restricted” D‐optimal designs. They assume that one set of explanatory variables (x1) is observed sequentially, and that the experimenter ...
López-Fidalgo, Jesús +2 more
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