Computational Statistics

Matthew N. O. Sadiku, Mahamadou Tembely, Sarhan M. Musa


Since the advent of the digital computers, the field of computational statistics has emerged as a distinct discipline. Computational statistics methods deal with the analysis and application of numerical methods to solve statistical problems. Statisticians have traditionally relied on numerical tools to analyze and interpret their data.  This paper provides a brief introduction to computational statistics.

Full Text:



A. C. Duffy, “Where do computational mathematics and computational statistics converge?” WIREs Computational Statistics, vol. 6, September/October2014, pp. 341-351.

J. E. Gentle, “Courses in statistical computing and computational statistics,” The American Statistician, vol. 58, no. 1, February 2004, pp.2-5.

W. L. Martinez, “Computational statistics in MATLAB,” WIREs Computational Statistics, vol. 3, January/February 2011, pp. 69-74.

J. E. Gentle, Computational Statistics. New York: Springer, 2009.

K. Lange, “Computational statistics and optimization theory at UCLA,” The American Statistician, vol. 58, no. 1, February 2004, pp. 9-11.

W. L. Martinez and A. R. Martinez, Computational Statistics Handbook With MATLAB. Boca Raton, FL CRC Press, 3rd edition, 2016.

W. K. Hardle and Y. Mori (eds), Handbook of Computational Statistics: Concept and Methods. New York: Springer, 2nd edition, 2012.

J. E. Gentle, G. H. Givens and J. A. Hoeting, Computational Statistics. Hoboken, NJ: John Wiley & Sons, 2nd edition, 2013.

W. Hardle, O. Okhrin, and Y. Okhrin, Basic Elements of Computational Statistics. Springer, 2017

J. E. Gentle, Elements of Computational Statistics. Springer, 2002.



  • There are currently no refbacks.

© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.