Robust Statistical Methods With R
Robust Statistical Methods With R
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R 的稳健统计方法
作者：
David J. Olive
现在有越来越多的书的书名是“Something with R”，其中“Something”是某一统计领域。显然，从JSS的角度来看，这是一个很好的发展：统计软件得到了比“没有R”时代更多的关注。我认为从更广泛的角度来看也是好的：更多地关注统计学的应用和理论方面的软件融合，并说明统计学被恰当地定义为数据分析技术的开发和研究。对于我们这些如此热衷于此的人来说，工作算法的源代码是解释一项技术实际作用的一种精确和可重复的方式。最后，这本书使用R而不是其他东西是件好事，因为R是计算统计学的通用语言。
There is a rapidly increasing number of books with titles “Something with R”, where “Something” is some area of statistics. Clearly this is a good development from the point of view of JSS: statistical software gets more attention than it did in the “Without R” era. I think it is also good from a somewhat broader perspective: paying more attention to software blends applied and theoretical aspects of statistics, and illustrates the fact that statistics is properly defined as the development and study of techniques for data analysis. For those of us who are so inclined source code for a working algorithm is a precise and reproducible way to explain what a technique actually does. And finally it is good that the books use R, and not something else, because R is the lingua franca of computational statistics.