References

Becker, R. A., and J. M. Chambers. 1984. S: An Interactive Environment for Data Analysis and Graphics. Wadsworth Advanced Books Program, Belmont CA.

Becker, Richard A., John M. Chambers, and Allan Reeve Wilks. 1988. The New S Language. Chapman; Hall, New York.

Chambers, J. M., and T. Hastie. 1992. Statistical Models in S. Chapman; Hall, New York.

Cowles, Mary Kathryn. 2013. Applied Bayesian Statistics with R and Openbugs Examples. Springer.

Dempster, A. P., N. M. Lairdk, and D. B. Rubin. 1977. “Maximum Likelihood from Incomplete Data via the Em Algorithm.” Journal of the Royal Statistical Society, Series B 39: 1–38.

E., Anderson., and ten others. 1999. “LAPACK Users’ Guide.” SIAM. 1999. http://www.netlib.org/lapack/lug/lapack_lug.html.

Fang, K.-T., and Y. Wang. 1994. Number-Theoretic Methods in Statistics. Chapman & Hall.

Gentle, James E. 2002. Elements of Computational Statistics. Springer Science + Business Media, Inc.

———. 2007. Matrix Algebra: Theory, Computations, and Applications in Statistics. Springer.

———. 2009. Computational Statistics. Springer.

Glasserman, Paul. 2004. Monte Carlo Methods in Financial Engineering. Springer.

Hyndman, R. J., and Y. Fan. 1996. “Sample Quantiles in Statistical Packages.” American Statistician 50: 361–65.

Inc., IMSL. 1985. “IMSL Quality Mathematical and Statistical Fortran Subroutines for Ibm Personal Computers.” IEEE Micro 5 (2): 97.

Inc., SAS Institute. 2010. Base Sas 9.2 Procedures Guide: Statistical Procedures. Third Edition. Cary, NC: SAS Institute Inc.

Lange, Kenneth. 2013. Optimization. Springer.

Lemieux, Christiane. 2009. Monte Carlo and Quasi-Monte Carlo Sampling. Springer.

Liu, Jun S. 2001. Monte Carlo Strategies in Scientific Computing. Springer.

Lunn, D., A. Thomas, N. Best, and D. Spiegelhalter. 2000. “WinBUGS — a Bayesian Modelling Framework: Concepts, Structure, and Extensibility.” Statistics and Computing 10: 325–37.

Lunn, Spiegelhalter, D., and N. Best. 2009. “The Bugs Project: Evolution, Critique and Future Directions (with Discussion).” Statistics in Medicine 28: 3049–82.

Matsumoto, M., and T. Nishimura. 1998. “Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator.” ACM Transactions on Modeling and Computer Simulation 8: 3–30.

Monahan, John F. 2001. Numerical Methods of Statistics. Cambridge University Press.

Nelder, J., and R. Mead. 1965. “A Simplex Method for Function Minimization.” Comput. J.

P, L’Ecuyer. 1999. “Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators.” Operations Research 47: 195–64. http://www.iro.umontreal.ca/ lecuyer/myftp/papers/combmrg2.ps.

Ross, Sheldon M. 2013. Simulation. 5th Ed. Elsevier.

Stewart, G. W. 1973. Introduction to Matrix Computations. Academic Press.

Wichmann, B. A., and I. D. Hill. 1982. “Algorithm as 183: An Efficient and Portable Pseudo-Random Number Generator.” Applied Statistics 31: 188–190. Remarks: 34, 198and 35, 89.

关治, and 陆金甫. 1998. 数值分析基础. 高等教育出版社.

徐成贤, 陈志平, and 李乃成. 2002. 近代优化方法. 科学出版社.

茆诗松, 王静龙, and 濮晓龙. 2006. 高等数理统计. 第二版. 高等教育出版社.

钱敏平, 龚光鲁, 陈大岳, and 章复熹. 2011. 应用随机过程. 高等教育出版社.

高惠璇. 1995. 统计计算. 北京大学出版社.

高立. 2014. 数值最优化方法. 北京大学出版社.