Probability plotting methods for the analysis for the analysis of data
Probability plotting methods for the analysis for the analysis of data
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DOI：
10.1093/biomet/55.1.1
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发表时间：
1968-03
期刊：
影响因子：
2.7
通讯作者：
M. Wilk;R. Gnanadesikan
中科院分区：
文献类型：
--
作者：
M. Wilk;R. Gnanadesikan
本文介绍和讨论了图形技术，基于原始的经验累积分布函数和分位数（Q-Q）图，百分比（p-p）图和这些的混合，这是有用的，在评估一个一维的样本，无论是从原始数据或分析。应用领域包括：样品比较;分布的比较;统计方法灵敏度结果的呈现;对比集合和样本方差集合的分析;多变量对比的评估;方差分析的结构;均方。许多目标和技术都通过例子来说明。
SUMMARYThis paper describes and discusses graphical techniques, based on the primitive empirical cumulative distribution function and on quantile (Q-Q) plots, percent (p-p) plots and hybrids of these, which are useful in assessing a one-diamensional sample, either from original data or resulting from analysis. Areas of application include: the comparison of samples; the comparison of distributions; the presentation of results on sensitivities of statistical methods; the analysis of collections of contrasts and of collections of sample variances; the assessment of multivariate contrasts; and the structuring of analysis of variances; mean squares. Many of the objectives and techniques are illustrated by examples.