Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains-Reference-Cited by-同舟云学术

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Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains

Published:2020-02-26 Issue:3 Volume:48 Page:498-516
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Nikiforova Nedka Dechkova¹,Berni Rossella¹^ORCID,Arcidiacono Gabriele²^ORCID,Cantone Luciano³,Placidoli Pierpaolo²

Affiliation:

1. Department of Statistics Computer Science Applications “G.Parenti”, University of Florence, Florence, Italy

2. Department of Innovation and Information Engineering, Marconi University, Rome, Italy

3. Department of Engineering for Enterprise “Mario Lucertini”, University of Rome “Tor Vergata”, Rome, Italy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1733943

Reference41 articles.

1. Fast Method to Evaluate Payload Effect on In-Train Forces of Freight Trains

2. Kriging models for payload distribution optimisation of freight trains

3. Orthogonal and nearly orthogonal designs for computer experiments

4. A computer-aided methodology for the optimization of electrostatic separation processes in recycling

5. TrainDy: The New Union Internationale Des Chemins de Fer Software for Freight Train Interoperability

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