Results 11 to 20 of about 6,428,700 (116)

A deterministic algorithm for experimental design applied to tomographic and microseismic monitoring surveys [PDF]

, 2004
Most general experimental design algorithms are either: (i) stochastic and hence give different designs each time they are run with finite computing power, or (ii) deterministic but converge to results that depend on an initial or reference design ...
Andrew Curtis, Curtis, A., Lomax, A., Anthony Lomax, Curtis, Andrew; id_orcid, Michelini, A., Alberto Michelini, Leslie, D., David Leslie   +8 more
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Optimal designs for indirect regression [PDF]

, 2004
In many real life applications, it is impossible to observe the feature of interest directly. For example, scientists in Materials Science may be interested in detecting cracks inside objects, not visible from the outside. Similarly, non-invasive medical
Edmund Jones, G. Vitale, Osses Alvarado, Axel, Nicolai Bissantz, Vitale, Guido, Cumsille, Patricio, Takahashi, Takéo, Hajo Holzmann, Chern, I-Liang, Conca, Carlos, Preziosi, Luigi, Kavian, O., L. Preziosi, Zuo, D., Langer, Matthias, Censor, Yair, Mueller, J. L., Ambrosi, Davide Carlo, Malik, Muslim, Schwindt, Erica L., Anthony Dubois, Herrera, C. N. L., Bissantz, Nicolai, Hamilton, S. J., Horng-Shing Lu, Henry, Pierro, Álvaro Rodolfo De, Schwindt, Erica, Rosier, Lionel, Helou Neto, Elias Salomão, Muslim Malik, Marc Saillard, Cheney, Margaret, Jiang, Ming, Kawano, Alexandre, Kamal Belkebir, Dette, Holger, Alvarez, Catalina, Von Herrmann, A., Holger Dette, Monard, F., Margaret Cheney, Holzmann, Hajo, Courdurier Bettancourt, Matías, Borden, Brett, Friz, L., Pandolfi, Luciano, Chen, Tai-Been, Romero, F., Brett Borden, Stefanie Biedermann, Conca Rosende, Carlos, Munnier, Alexandre, Ortega Palma, Jaime, Jones, Edmund, Woracek, Harald, Carlos Conca, Biedermann, Stefanie, Hamilton, Sarah J., Alexandre Munnier   +58 more
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Bayesian designs for hierarchical linear models [PDF]

, 2012
Two Bayesian optimal design criteria for hierarchical linear models are discussed – the ?? criterion for the estimation of individual-level parameters ?, and the ?? criterion for the estimation of hyperparameters ?.
Allenby, Gregory, Qing Liu, Dean, Angela, Liu, Qing, Angela M. Dean, Greg M. Allenby   +5 more
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Designs for generalized linear models with several variables and model uncertainty [PDF]

, 2006
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods, Lewis, S. M., Woods, D. C., K. G. Russell, Eccleston, J. A., S. M. Lewis, J. A Eccleston, S. M Lewis, D. C Woods, K. G Russell, Russell, K. G., J. A. Eccleston   +11 more
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Maximin optimal designs for a compartmental model [PDF]

, 2004
For an important example from the class of compartmental models we determine optimal designs, which are robust against misspecifications of the unknown model parameters.
Stefanie Biedermann, Andrey Pepelyshev, Dette, Holger, H. Dette, Holger Dette, Pepelyshev, Andrey, S. Biedermann, Biedermann, Stefanie, A. Pepelyshev   +8 more
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Optimal blocked minimum-support designs for non-linear models

, 2014
Finding optimal designs for experiments for non-linear models and dependent data is a challenging task. We show how the problem simplifies when the search is restricted to designs that are minimally supported; that is, the number of distinct runs ...
van de Ven, P.M., Woods, D.C.
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Experimental designs for environmental valuation with choice-experiments: A Monte Carlo investigation [PDF]

, 2005
We review the practice of experimental design in the environmental economics literature concerned with choice experiments. We then contrast this with advances in the field of experimental design and present a comparison of statistical efficiency across ...
RICCARDO SCARPA, Ferrini, Silvia, Scarpa, Riccardo   +2 more
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Robust data analysis for factorial experimental designs: Improved methods and software [PDF]

, 2006
Factorial experimental designs are a large family of experimental designs. Robust statistics has been a subject of considerable research in recent decades. Therefore, robust analysis of factorial designs is applicable to many real problems.
Sarmad, Majid
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D-optimal designs for Poisson regression models [PDF]

, 2008
We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables and an additive linear predictor.
Lewis, S. M., Woods, D. C., Eccleston, J. A., Woods, D.C., Eccleston, J.A., Lewis, S.M., Russell, K.G., Russell, K. G.   +7 more
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Outperforming completely randomized designs. [PDF]

Bi-randomization designs have become increasingly popular in industry because some of the factors under investigation are often hard-to-change. It is well-known that the resulting compound symmetric error structure not only affects estimation and ...
Goos, Peter, Vandebroek, Martina
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