Department of Statistics and Probability Theory, Vienna University of Technology, Wiedner Hauptstr. 8-10, 1040 Vienna, Austria.
Anal Chim Acta. 2011 Oct 31;705(1-2):2-14. doi: 10.1016/j.aca.2011.03.055. Epub 2011 Apr 9.
General ideas of robust statistics, and specifically robust statistical methods for calibration and dimension reduction are discussed. The emphasis is on analyzing high-dimensional data. The discussed methods are applied using the packages chemometrics and rrcov of the statistical software environment R. It is demonstrated how the functions can be applied to real high-dimensional data from chemometrics, and how the results can be interpreted.
讨论了稳健统计学的一般思想，特别是用于校准和降维的稳健统计方法。重点是分析高维数据。使用统计软件环境 R 中的 chemometrics 和 rrcov 软件包来应用所讨论的方法。演示了如何将这些函数应用于化学计量学中的真实高维数据，以及如何解释结果。
