绘制和评估威布尔分布数据的图形方法

R. Ross
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引用次数: 53

摘要

针对威布尔图的制作,综述了三种作图位置:中值概率、平均概率和平均作图位置。将(对数)数据视为中值还是平均值是很重要的。中位数类型的绘图给出了一个有偏的平均值图,如果用于识别异常值,可能会在曲线的低端产生误导。相比之下,均值类型通过线性回归估计给出无偏估计,从而在平均值上获得最佳威布尔图。为了将威布尔纸与计算器结合使用,讨论了近似概率的适当公式。给出了一个略为改进的期望标绘位置公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphical methods for plotting and evaluating Weibull distributed data
Aiming at making Weibull plots, three types of plotting positions are reviewed: median probability, mean probability and mean plotting position. It is important whether the (log)data are regarded as median or as mean values. Median type plotting gives a biased plot on the average and, if used to identify outliers, can be somewhat misleading at the low end of the curve. In contrast, the mean type gives unbiased estimators by linear regression estimation, thus granting the best Weibull plot on the average. For use of Weibull paper in combination with a calculator, adequate formulas approximating probabilities are discussed. A somewhat improved formula for expected plotting position is given.<>
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