Reliability of Statistical Software
使用美国国家标准与技术研究院的线性和非线性最小二乘数据集，测试了Excel、MATLAB、R等10款统计软件的可靠性，发现部分软件在特定条件下未通过测试，建议使用前进行基准测试并采用多款软件交叉验证。
The reliability of several statisitcal software packages was examined using the National Institute of Standards and Technology linear and nonlinear least squares datasets and models. Software tested include Excel 2007, GAMS 23.4, GAUSS 9.0, LIMDEP 8.0, Mathematica 7.0, MATLAB 7.5, R 2.10, SAS 9.1, SHAZAM 10, and Stata 10. While some of these packages have been previously examined, others, including GAMS and MATLAB, have not been extensively examined. Reliability tests indicate improvements in some of the software packages that were previously tested, but some of these packages failed reliability tests under certain conditions. The findings underscore the need to benchmark software packages to ascertain reliability before use and the importance of solving econometric problems using more than one package.