Results 271 to 280 of about 10,339,939 (316)

Comparison of Robust Criteria for D-Optimal Designs

Journal of Biopharmaceutical Statistics, 2012
This 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, McGree, James, Eccleston, John, Duffull, Stephen   +3 more
openaire   +5 more sources

NOTE ON REGULAR D-OPTIMAL MATRICES

Chinese Annals of Mathematics, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

D-optimal designs for weighted polynomial regression

Journal of Statistical Planning and Inference, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chang, Fu-Chuen, Lin, Ge-Chen
openaire   +2 more sources

D-optimal designs for correlated random vectors

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masaro, Joe, Wong, Chi Song
openaire   +2 more sources

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
openaire   +2 more sources

D-optimality of complete latin squares

Series Statistics, 1982
Row-complete (complete) latin squares are characterized as the D-optimum designs for a linear model with row- (row- and column-) residual effects of first order.
openaire   +1 more source

D-optimality of the dual of BIB designs

Statistics & Probability Letters, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

D‐optimal minimax fractional factorial designs

Canadian Journal of Statistics, 2013
AbstractThe 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
openaire   +1 more source

New \(D\)-optimal designs of order 110. [PDF]

Australas. J Comb., 2001
We give two new D-optimal designs of order 110.
Fletcher, R. J., Seberry, Jennifer
openaire   +1 more source

Training data development with the D-optimality criterion

IEEE Transactions on Neural Networks, 1999
The importance of using optimum experimental design (OED) concepts when selecting data for training a neural network is highlighted in this paper. We demonstrate that an optimality criterion borrowed from another field; namely the D-optimality criterion used in OED, can be used to enhance the training value of a small training data set.
M. H. Choueiki, C. A. Mount-Campbell
openaire   +2 more sources