The following properties of Q-Q plots and probability plots make them useful diagnostics of how well a specified theoretical distribution fits a set of measurements: Q-Q plots are more convenient than ...
it follows that an estimate of CPU is 1.7 / 3 = 0.57, and an estimate of CPL is 1.8 / 3 = 0.6. Thus, except for a factor of three, you can estimate CPU and CPL from the points of intersection between ...
This paper discusses construction and interpretation of quantile plots using data obtained through a complex sample design. Previous quantile-plotting methods are extended through the use of ...
This article derives simultaneous 100(1 - α)% confidence intervals for the quantiles of a normal distribution using a method first proposed by Cheng and Iles and independently rediscovered by Satten.
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