Results 71 to 80 of about 768,227 (181)

On a Multiplicative Algorithm for Computing Bayesian D-optimal Designs [PDF]

, 2010
We use the minorization-maximization principle (Lange, Hunter and Yang 2000) to establish the monotonicity of a multiplicative algorithm for computing Bayesian D-optimal designs. This proves a conjecture of Dette, Pepelyshev and Zhigljavsky (2008)
Yu, Yaming
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Efficient D-optimal designs under multiplicative heteroscedasticity. [PDF]

In optimum design theory designs are constructed that maximize the information on the unknown parameters of the response function. The major part deals with designs optimal for response function estimation under the assumption of homoscedasticity.
Goos, Peter, Tack, Lieven, Vandebroek, Martina   +2 more
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A D-optimal design of order 102

Discrete Mathematics, 1992
The author describes a computer search to construct a \(D\)-optimal design of order 102.
openaire   +2 more sources

An efficient algorithm for constructing Bayesian optimal choice designs. [PDF]

Recently, Kessels et al. (2006) developed a way to produce Bayesian G- and V-optimal designs for the multinomial logitmodel. These designs allow for precise response predictions which is the goal of conjoint choice experiments.
Goos, Peter, Jones, B, Kessels, R, Vandebroek, Martina   +3 more
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Variance exchange process: overcoming the problem of singular information matrices in quadratic three−variable response designs

Journal of Innovative Applied Mathematics and Computational Sciences
Many a time, in a variance exchange process looking for D-optimal designs, the initial designs of all quadratic components of three-variable response polynomials produce non-invertible information matrices.
Okim Ikpan, Felix Nwobi
doaj   +1 more source

Piani D-ottimali non equivalenti di risoluzione V con N = 10, 12 osservazioni

Statistica, 2007
In the literature there are several contributions to the construction of resolution V D-optimal designs when N_=2 mod 16 (Chadjiconstantinidis, Cheng and Moyssiadis, 1989).
Luigi Salmaso
doaj   +1 more source

Bayesian sequential D-D optimal model-robust designs. [PDF]

Alphabetic optimal design theory assumes that the model for which the optimal design is derived is usually known. However in real-life applications, this assumption may not be credible, as models are rarely known in advance.
Ruggoo, A, Vandebroek, Martina
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D-Optimal designs for a multivariate regression model

Journal of Multivariate Analysis, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Krafft, Olaf, Schaefer, Martin
openaire   +2 more sources

Locally E-optimal designs for exponential regression models [PDF]

In this paper we investigate locally E- and c-optimal designs for exponential regression models of the form _k i=1 ai exp(??ix). We establish a numerical method for the construction of efficient and locally optimal designs, which is based on two results.
Dette, Holger, Melas, Viatcheslav B., Pepelyshev, Andrey   +2 more
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Optimal designs for free knot least squares splines [PDF]

, 2006
In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of the literature on optimal design for spline regression models it is assumed that the knots of the spline are also estimated from the ...
Dette, Holger, Melas, Viatcheslav B., Pepelyshev, Andrey   +2 more
core   +1 more source