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to probability and statistics, pages 278-92. Stanford Univ. Press, Stanford,
Calif., 1960.
[33] J. Maindonald, J. W. Braun : Data Analysis and Graphics Using R: An
Example-based Approach (Cambridge Series in Statistical and Probabilistic
Mathematics). Cambridge University Press, December 2006.
[34] C. L. Mallows : Some Comments on c p . Technometrics, 15:661-75, 1973.
[35] N. Matloff : The Art of R Programming. No Starch Press, 2011.
[36] C. Meyer : Matrix Analysis and Applied Linear Algebra. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2000. With
1 CD-ROM (Windows, Macintosh and UNIX) and a solutions manual
(iv+171 pp.).
[37] Jr. Miller, G. Rupert : Simultaneous Statistical Inference. SpringerVerlag, 2nd edition, New York, 1981. Springer Series in Statistics.
[38] G. Millot : Comprendre et r´ ealiser les tests statistiques ` a l’aide de R.
De Boeck, 2009.
[39] R. A. Muenchen : R for SAS and SPSS Users. Springer Series in Statistics
and Computing. Springer, 2009.
[40] R. A. Muenchen, J. M. Hilbe : R for Stata Users. Statistics and Computing. Springer, 2010.
[41] S. K. Park, K. W. Miller : Random Number Generators: Good Ones
are Hard to Find. Commun. ACM, 31(10):1192-1201, 1988.
[42] D. Sarkar : Lattice : Multivariate Data Visualization with R. Use R !
Springer, March 2008.
[43] G. Schwarz : Estimating the Dimension of a Model. The Annals of
Statistics, 6:461-64, 1978.
[44] B. Stroustrup : The C++ Programming Language. Addison-Wesley
Professional, 4th Edition, 2013.
[45] P. Teetor : R Cookbook. O’Reilly, 2011.
[46] A. F. Zuur, E. N. Ieno, E. Meesters : A Beginner’s Guide to R. Springer, 2009.
583
[32] H. Levene : Robust Tests for Equality of Variances. In Contributions
to probability and statistics, pages 278-92. Stanford Univ. Press, Stanford,
Calif., 1960.
[33] J. Maindonald, J. W. Braun : Data Analysis and Graphics Using R: An
Example-based Approach (Cambridge Series in Statistical and Probabilistic
Mathematics). Cambridge University Press, December 2006.
[34] C. L. Mallows : Some Comments on c p . Technometrics, 15:661-75, 1973.
[35] N. Matloff : The Art of R Programming. No Starch Press, 2011.
[36] C. Meyer : Matrix Analysis and Applied Linear Algebra. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2000. With
1 CD-ROM (Windows, Macintosh and UNIX) and a solutions manual
(iv+171 pp.).
[37] Jr. Miller, G. Rupert : Simultaneous Statistical Inference. SpringerVerlag, 2nd edition, New York, 1981. Springer Series in Statistics.
[38] G. Millot : Comprendre et r´ ealiser les tests statistiques ` a l’aide de R.
De Boeck, 2009.
[39] R. A. Muenchen : R for SAS and SPSS Users. Springer Series in Statistics
and Computing. Springer, 2009.
[40] R. A. Muenchen, J. M. Hilbe : R for Stata Users. Statistics and Computing. Springer, 2010.
[41] S. K. Park, K. W. Miller : Random Number Generators: Good Ones
are Hard to Find. Commun. ACM, 31(10):1192-1201, 1988.
[42] D. Sarkar : Lattice : Multivariate Data Visualization with R. Use R !
Springer, March 2008.
[43] G. Schwarz : Estimating the Dimension of a Model. The Annals of
Statistics, 6:461-64, 1978.
[44] B. Stroustrup : The C++ Programming Language. Addison-Wesley
Professional, 4th Edition, 2013.
[45] P. Teetor : R Cookbook. O’Reilly, 2011.
[46] A. F. Zuur, E. N. Ieno, E. Meesters : A Beginner’s Guide to R. Springer, 2009.
