American Psychological Association 6th edition

Chudoba, R., Sadílek, V., Rypl, R., & Vořechovský, M. (2013). Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs. Computer Physics Communications, 184(2), 414-427. https://doi.org/10.1016/j.cpc.2012.08.021

ISO-690 (author-date, English)

CHUDOBA, R., SADÍLEK, V., RYPL, R. und VOŘECHOVSKÝ, M., 2013. Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs. Computer Physics Communications. 1 Februar 2013. Vol. 184, no. 2, p. 414-427. DOI 10.1016/j.cpc.2012.08.021.

Modern Language Association 9th edition

Chudoba, R., V. Sadílek, R. Rypl, und M. Vořechovský. „Using Python for Scientific Computing: Efficient and Flexible Evaluation of the Statistical Characteristics of Functions With Multivariate Random Inputs“. Computer Physics Communications, Bd. 184, Nr. 2, Februar 2013, S. 414-27, https://doi.org/10.1016/j.cpc.2012.08.021.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chudoba, R./Sadílek, V./Rypl, R./Vořechovský, M.: Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs, Computer Physics Communications 2013, 414-427.

Emerald - Harvard

Chudoba, R., Sadílek, V., Rypl, R. und Vořechovský, M. (2013), „Using Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs“, Computer Physics Communications, Vol. 184 No. 2, S. 414-427.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.