Referências Bibliográficas

Referências básicas

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Wickham, H. Advanced R. Chapman & Hall, 2019.
Jones, O.D.; Maillardet. R. and Robinson, A.P. An Introduction to Scientific Programming and Simulation, Using R. 2nd Ed. Chapman And Hall/CRC. 2014.

Burns, P. The R Inferno. 2011.
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Ferreira, DF. Estatística computacional em Java. Editora UFLA, 2013.
Gentle, JE; Härdle, WK; Mori, Y. Handbook of computational statistics: concepts and methods. Springer, 2012.
Gilks, WR; Richardson, S; Spiegelhalter, DJ (Eds.). Markov chain Monte Carlo in practice. Chapman & Hall, 1996.
Gillespie, C.; Lovelace, R. Efficient R programming. Chapman & Hall, 2017.
Härdle, WK.; Okhrin, O; Okhrin, Y. Basic elements of computational statistics. Springer, 2017.
Hastie, T.; Tibshirani, R.; Friedman, J. The elements of statistical learning: data mining, inference, and prediction. Springer, 2009.
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Robert, CP; Casella, G. Monte Carlo statistical methods. Springer, 2004.
Silva, RS. Estatística Computacional. Notas de aula online.