Results 151 to 160 of about 768,227 (181)
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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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D‐optimal minimax fractional factorial designs
Canadian Journal of Statistics, 2013AbstractThe D‐optimal minimax criterion is proposed to construct fractional factorial designs. The resulting designs are very efficient, and robust against misspecification of the effects in the linear model. The criterion was first proposed by Wilmut & Zhou (2011); their work is limited to two‐level factorial designs, however.
Lin, Dennis K. J., Zhou, Julie
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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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Bayesian D-optimal supersaturated designs
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jones, Bradley +2 more
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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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D-optimal weighing designs for six objects
Metrika, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Neubauer, Michael G. +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 designs and group divisible designs
Journal of Combinatorial Designs, 2006AbstractWe obtain new conditions on the existence of a square matrix whose Gram matrix has a block structure with certain properties, including D‐optimal designs of order $n\equiv 3 \pmod 4$, and investigate relations to group divisible designs. We also find a matrix with large determinant for n = 39. © 2006 Wiley Periodicals, Inc. J Combin Designs 14:
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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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