Results 291 to 300 of about 18,707,175 (333)

D-optimality of Group Testing for Estimation of Correlated Rare Diseases with Misclassification

, 2017
The D-optimal criterion is used to derive an optimality property of group testing in estimation of the prevalence of two rare correlated diseases when the disease statuses are classified with error.
Qizhai Li, Aiyi Liu, Wenjun Xiong
semanticscholar   +1 more source

D-optimal and near D-optimal fractional factorial designs of resolution V

Journal of Statistical Planning and Inference, 2009
Abstract Upper bounds for the determinant of the information matrix of a 2 k fractional factorial design of resolution V are improved. Highly D-efficient 2 k fractional factorial designs of resolution V for 3 ⩽ k ⩽ 8 are found using the heuristic algorithms of Nguyen and Miller [1992.
Dursun A. Bulutoglu, Kenneth J. Ryan
openaire   +2 more sources

Nonlinear model structure design and construction using orthogonal least squares and D-optimality design

IEEE Trans. Neural Networks, 2002
A very efficient learning algorithm for model subset selection is introduced based on a new composite cost function that simultaneously optimizes the model approximation ability and model robustness and adequacy.
X. Hong, C. Harris
semanticscholar   +1 more source

Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria

, 1982
This article presents a branch-and-bound algorithm that constructs a catalog of all D-optimal n-point designs for specified design region, linear model, and number of observations, n.
W. Welch
semanticscholar   +1 more source

Optimal design: Some geometrical aspects of D-optimality

, 1975
SUMMARY The duality relationships between D-type optimal designs and problems of covering a subset of Euclidean space by central ellipsoids and ellipsoidal cylinders are described and consequences that aid the solution of either problem are discussed. It
D. Titterington
semanticscholar   +1 more source

Optimization of magnetic sensor arrays for current measurement based on swarm intelligence and D‐optimality

, 2009
Purpose – The purpose of this paper is to improve the accuracy of innovative current transducers based on magnetic sensor arrays.Design/methodology/approach – The positions and the orientations of the magnetic sensors are optimized.
Z. Zhang, L. Rienzo
semanticscholar   +1 more source

D-optimality of a class of saturated main-effect plans and allied results

, 1986
This paper applies the theory of unimodular matrices to prove that all saturated main effect plans of an s1 × s2 factorial are equivalent from the point of view of D–optimality and are hence all D–optimal.
R. Mukerjee, Kashinath Ohattebjee, M. Sen   +2 more
semanticscholar   +1 more source

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   +4 more sources

A D-Optimality-Based Sensitivity Test

, 1994
Sensitivity tests are often used to estimate the parameters associated with latent continuous variables that cannot be measured. For example, each explosive specimen has a threshold. The specimen will detonate if and only if an applied shock exceeds this
B. Neyer
semanticscholar   +1 more source

Bayesian D-optimal supersaturated designs

Journal of Statistical Planning and Inference, 2008
We introduce a new class of supersaturated designs using Bayesian D-optimality. The designs generated using this approach can have arbitrary sample sizes, can have any number of blocks of any size, and can incorporate categorical factors with more than two levels.
Christopher J. Nachtsheim, Bradley Jones, Dennis K.J. Lin   +2 more
openaire   +2 more sources