Part I outlined a methodology for assessing the reliability of three areas: Estimation, random number generation, and calculation of statistical distributions. The present article applies this methodology to SAS, SPSS, and S-Plus, with attention to implementation details. Weaknesses are identified in all the random number generators, the S-Plus correlation procedure, and in the one-way ANOVA and nonlinear least squares routines of SAS and SPSS.
No takes yet. Share an insight, caveat, or question.
Bruce D. McCullough (1999) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: