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estimation - What is the proper way to estimate the CDF for a . . . My initial thought was 'I don't think there is an answer to this question ' Similar to what is written in one of the replies The idea of a confidence interval about some smooth curve, and then getting narrower as n increases, seems like a cool idea, though
probability - Find expected value using CDF - Cross Validated @styfle - because that's what a PDF is, whenever the CDF is continuous and differentiable You can see this by looking at how you have defined your CDF Differentiating an integral just gives you the integrand when the upper limit is the subject of the differentiation
Distribution function terminology (PDF, CDF, PMF, etc. ) Distribution Function Cumulative Distribution Function (CDF) Probability Distribution Function Probability Density Function Probability Mass Function (PMF) (1) Distribution Function == CDF I e they are the same Am I right? (2) Which is called PDF: Probability Distribution Function or Probability Density Function?