Statistics and Data Analysis in Geology
Statistics and Data Analysis in Geology
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DOI：
10.1198/tech.2005.s338
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发表时间：
2005-11
期刊：
影响因子：
2.5
通讯作者：
J. Griffiths
中科院分区：
文献类型：
--
作者：
J. Griffiths
接下来是关于多元方法的全新 60 页章节。主题包括深度，即数据云中数据点的特征；异常值检测方法；跳过估计器；置信区域；双样本分析；和密度估计器。单向设计和更高层次设计这一章的主题非常相似。第一版中有关将设计与相关组进行比较的部分已扩大为单独的 50 页章节。关于稳健回归的第 10 章篇幅增加了一倍，其中包含关于最小中值和最小修剪估计器、跳过估计器和投影估计器的新材料。最后一章“更多回归方法”的篇幅增加了一倍，包含更多关于曲率和非参数方法的信息，以及关于检查回归模型规范的全新材料块。本书最后附有 40 页参考文献，其中包括超过 4 页的作者论文列表。
Next comes an entirely new 60-page chapter on multivariate methods. Topics include depth, which is the characterizing of data points within a cloud of data; outlier detection methods; skipped estimators; confidence regions; twosample analysis; and density estimators. The topics are much the same in the chapter on one-way and higher designs. The section from the first edition on comparing designs with dependent groups has been enlarged into a separate 50-page chapter. Chapter 10, on robust regression, has doubled in length, with new material on least median and least trimmed estimators, skipped estimators, and projection estimators. The final chapter, “More Regression Methods,” has doubled in size and includes a lot more information on curvature and nonparametric methods and a whole new block of material on checking the specification of a regression model. The book ends with 40 pages of references, including more than 4 pages of listings for the papers by the author.