The original Random Balance Design (RBD) approach is here further analysed and improved in terms of accuracy of the estimates. The dependency of the algorithm on the tricky parameter M, i.e. the maximum number of frequency harmonics, is eliminated, rendering the procedure fully non parametric.JRC.DG.G.3-Econometrics and applied statistic
The design of experiments involves a compromise between covariate balance and robustness. This paper...
The approximate reliability analysis methods require accurate sensitivity information. In spite of b...
In reliability analysis and reliability-based design, sensitivity analysis identifies the relationsh...
AbstractThe original Random Balance Design (RBD) approach is here further analysed and improved in t...
Special Issue: SAMO 2010International audienceIn this paper, we present a general way to correct a p...
We present two methods for the estimation of main effects in global sensitivity analysis. The method...
Fourier Amplitude Sensitivity Test (FAST) and Random Balance Design (RBD) are popular methods of est...
This work compares three different global sensitivity analysis some available techniques, namely the...
International audienceA general method is presented for randomising a block design while preserving ...
The present work is a sequel to a recent one published on this journal where the superiority of `rad...
none2noEfron’s biased coin design (BCD) is a well-known randomization technique that helps neutraliz...
The present review of design methods for sensitivity analysis is limited to a number of best practic...
We use the Karhunen-Loève expansion of a random-field model to construct a tensorised Bayesian linea...
The motivation for randomization inference and sensitivity analysis is reviewed. New methods are dis...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The design of experiments involves a compromise between covariate balance and robustness. This paper...
The approximate reliability analysis methods require accurate sensitivity information. In spite of b...
In reliability analysis and reliability-based design, sensitivity analysis identifies the relationsh...
AbstractThe original Random Balance Design (RBD) approach is here further analysed and improved in t...
Special Issue: SAMO 2010International audienceIn this paper, we present a general way to correct a p...
We present two methods for the estimation of main effects in global sensitivity analysis. The method...
Fourier Amplitude Sensitivity Test (FAST) and Random Balance Design (RBD) are popular methods of est...
This work compares three different global sensitivity analysis some available techniques, namely the...
International audienceA general method is presented for randomising a block design while preserving ...
The present work is a sequel to a recent one published on this journal where the superiority of `rad...
none2noEfron’s biased coin design (BCD) is a well-known randomization technique that helps neutraliz...
The present review of design methods for sensitivity analysis is limited to a number of best practic...
We use the Karhunen-Loève expansion of a random-field model to construct a tensorised Bayesian linea...
The motivation for randomization inference and sensitivity analysis is reviewed. New methods are dis...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The design of experiments involves a compromise between covariate balance and robustness. This paper...
The approximate reliability analysis methods require accurate sensitivity information. In spite of b...
In reliability analysis and reliability-based design, sensitivity analysis identifies the relationsh...