- Simulation for Data Science with R
- Matthias Templ
- 151字
- 2021-07-14 11:17:06
References
- Eddelbuettel, D., and R. Fran?ois. 2011, "Rcpp: Seamless R and C++ Integration." Journal of Statistical Software 40 (8): 1–18.
- Huber, P.J. 1981, Robust Statistics, Wiley.
- Kroese, D.P., T. Brereton, T. Taimre, and Z.I. Botev. 2014. "Why the Monte Carlo Method is so important today," Wiley Interdisciplinary Reviews: Computational Statistics 6 (6). John Wiley & Sons, Inc.: 386–92.
- R Core Team. 2015. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
- Schmidberger, S., M. Morgan, D. Eddelbuettel, H. Yu, L. Tierney, and U. Mansmann. 2009, "State of the Art in Parallel Computing with R," Journal of Statistical Software 31 (1).
- Sevcikova, H., and T. Rossini. 2015. Rlecuyer: R Interface to RNG with Multiple Streams, https://CRAN.R-project.org/package=rlecuyer.
- Yihui, X. 2013. "Animation: An R Package for Creating Animations and Demonstrating Statistical Methods," Journal of Statistical Software 53 (1): 1–27.
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