Approches statistiques des expériences simulées

A. Jourdan

Revue de Statistique Appliquée (2002)

  • Volume: 50, Issue: 1, page 49-64
  • ISSN: 0035-175X

How to cite

top

Jourdan, A.. "Approches statistiques des expériences simulées." Revue de Statistique Appliquée 50.1 (2002): 49-64. <http://eudml.org/doc/106512>.

@article{Jourdan2002,
author = {Jourdan, A.},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {1},
pages = {49-64},
publisher = {Société française de statistique},
title = {Approches statistiques des expériences simulées},
url = {http://eudml.org/doc/106512},
volume = {50},
year = {2002},
}

TY - JOUR
AU - Jourdan, A.
TI - Approches statistiques des expériences simulées
JO - Revue de Statistique Appliquée
PY - 2002
PB - Société française de statistique
VL - 50
IS - 1
SP - 49
EP - 64
LA - fre
UR - http://eudml.org/doc/106512
ER -

References

top
  1. Bates R.A., Buck R.J., Riccomagno E., Wynn H.P. (1996), Experimental design and observation for large systems. J. R. Statist. Soc.B58, 77-94. Zbl0850.62627MR1379235
  2. Box G.E.P. (1963), The effects errors in the factor levels and experimental designs. Technometrics5, 247-262. Zbl0118.13805MR184370
  3. Christensen R. (1990), Linear models for multivariate, time series, and spatial data. Springer-Verlag. Zbl0717.62079MR1081535
  4. Collombier D., Jourdan A. (2001), Régression trigonométrique et plans d'échantillonnage pour expériences simulées. Revue de Statistique Appliquée, 49 (2), 5-25. Zbl0983.62061
  5. Currin C.T., Mitchell M., Morris M., Ylvisaker D. (1991), Bayesian prediction of deterministic functions, with applications to the design and the analysis of computer experiments. J. Amer. Statist. Assoc., 86, 953-963. MR1146343
  6. Draper N.R., Beggs W.J. (1971), Errors in factor levels and experimental designs. Ann. of Math. Statist., 41, 46-58. Zbl0221.62032MR300376
  7. Fang K-T., Lin D.K.J., Winker P., Zhang Y. (2000), Uniform design : theory and application. Technometrics42, 237-248. Zbl0996.62073MR1801031
  8. Johnson M.E., Moore L.M., Ylvisaker D. (1990), Minimax and maximin distance designs. J. of Statist. Planning and Inference, 26, 131-148. MR1079258
  9. Jourdan A. (2000), Analyse statistique et échantillonnage d'expériences simulées. Thèse, Université de Pau et des Pays de l'Adour 
  10. Koehler JR., Owen A.B. (1996), Computer experiments. In Ghosh S. and Rao C.R., editors, Handbook of statistics, 13 : Design and analysis of experiments, North-Holland, Amsterdam, 261-308. Zbl0919.62089MR1492571
  11. Mardia K.V., Marshall R.J. (1984), Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika, 71, 135-146. Zbl0542.62079MR738334
  12. Matheron G. (1963), Principles of geostatistics. Economic Geology, 58, 1246-1266. 
  13. Mc Kay M.D., Beckman R.J., Conover W.J. (1979), Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21, 239-245. Zbl0415.62011MR533252
  14. Owen A.B. (1992), Orthogonal arrays for computer experiments, integration and visualization. Statist. Sinica, 2, 439-452. Zbl0822.62064MR1187952
  15. Owen A.B. (1995), Randomly permuted (t,m,s)-nets and (t,s)-sequences. In Niederreiter H. and Shuie P.J.S. eds, Monte Carlo and quasi-Monte Carlo Methods in Scientific Computing, Springer, New York. Zbl0831.65024MR1445777
  16. Park J.S. (1994), Optimal Latin hypercube designs for computer experiments. J. of Statist. Planning and Inference, 39, 95-111. Zbl0803.62067MR1266995
  17. Sacks J., Schiller S.B., Welch W.J. (1989a), Designs for computer experiments. Technometrics, 31, 41-47. MR997669
  18. Sacks J., Welch W.J., Mitchell T.J., Wynn H.P. (1989b), Design and analysis of computer experiments. Statist. Science, 4, 409-435. Zbl0955.62619MR1041765
  19. Schwery M.C., Wynn H.P. (1987), Maximum entropy sampling. J. of Appl. Statist., 14, 165-170. 
  20. Sloan I.H., Joe S. (1994), Lattice methods for multiple integration. Oxford science Publications. Zbl0855.65013MR1442955
  21. Tang B. (1993), Orthogonal array-based Latin hypercubes. J. Amer. Statist. Assoc., 88, 1392-1397. Zbl0792.62066MR1245375
  22. Tang B. (1994), A theorem for selecting OA-based latin hypercubes using a distance criterion. Comm. Statist.-Theory Meth., 23, 2047-2058. Zbl0825.62186MR1281902
  23. Vuchkov, I.N., Boyadjieva L.N. (1983), The robustness of experimental designs against errors in the factor levels. J. Statistical Computation & Simulation, 17, 31-41. Zbl0513.62081MR700795
  24. Vuchkov, I.N., Boyadjieva L.N., Damyanov P.S. (1987), Off-line quality control without replicates. Paper presented at the Satellite Conference on Mathematics of Design of Experiments, 17th Europeean Meeting of Statisticians, Thessaloniki, Greece 
  25. Vuchkov, I.N., Boyadjieva L.N., Tzenkova (1998), Quality mprovement through mechanistic models. In Atkinson A.C., Pronzato L., Wynn W.P. editors, MODA 5 - Advances in Model Oriented Data Analysis and Experimental Design (Proceedings of the 5th International Worshop, Marseille, France, june 22-261998), Physica-Verlag. Zbl0922.62104MR1652206
  26. Welch W.J., Buck R.J., Sacks J., Wynn H.P., Mitchell T.J., Morris M.D. (1992), Screening, predicting and computer experiments. Technometrics, 34, 15-25. 

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.