Results 281 to 290 of about 13,560,800 (313)

Marginally restricted sequential D‐optimal designs

Canadian Journal of Statistics, 2008
AbstractIn 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, Martín-Martín, Raul, Wiens, Douglas P.   +2 more
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D-optimal designs on the unit q-ball

Journal of Statistical Planning and Inference, 1988
Abstract Consider a polynomial regression model on the unit q-ball. We can express the determinant of the information matrix in terms of canonical moments. Thus we can find the robust-type D-optimal designs in the sense of Stigler (1971) and Studden (1982).
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Iterative R-D optimization of H.264

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. The primal decomposition method enables spatial or temporal prediction dependency within a group of picture (GOP) to be processed in the master primal problem.
Cheolhong An, Truong Q. Nguyen
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D-Optimal Designs for a Multivariate Polynomial Model

Vestnik St. Petersburg University, Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. V. Shpilev, E. S. Kucha
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D-optimal designs for weighted polynomial regression

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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New \(D\)-optimal designs of order 110.

Australas. J Comb., 2001
We give two new D-optimal designs of order 110.
Fletcher, R. J., Seberry, Jennifer
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Some new D-optimal designs

Australas. J Comb., 1997
Summary: We construct several new \((v;r,s; \lambda)\) supplementary difference sets with \(v\) odd and \(r+s= \lambda+ (v-1)/2\). They give rise to \(D\)-optimal designs of order \(2v\). \(D\)-optimal designs of orders 158, 194, and 290 are constructed here for the first time. We also give an up to date survey of this class of supplementary difference
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D-optimal and near D-optimal fractional factorial designs of resolution V

Journal of Statistical Planning and Inference, 2009
Dursun A. Bulutoglu, Kenneth J. Ryan
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D-Optimal Matrices

2006
Michael Neubauer, William Watkins
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WIPL-D Optimizer

IEEE Antennas and Propagation Magazine, 2006
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