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  • probability - Find expected value using CDF - Cross Validated
    $\begingroup$ @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 $\endgroup$ –
  • estimation - What is the proper way to estimate the CDF for a . . .
    The ECDF has many nice properties such as being strongly consistent (pointwise even) to the CDF Since you have a discrete approximation of a continuous distribution you can generate quantiles that can be used for confidence intervals in the usual discrete way
  • distributions - Empirical CDF vs CDF - Cross Validated
    An empirical cdf is a proper cdf, but empirical cdfs will always be discrete even when not drawn from a discrete distribution, while the cdf of a distribution can be other things besides discrete If you treat a sample as if it were a population of values, each one equally probable (i e place probability 1 n on each observation) then the cdf
  • calculate CDF from given PDF - Mathematics Stack Exchange
    Conditional PDF and CDF problem Hot Network Questions Why did Jesus call Nicodemus "the teacher of Israel" ὁ διδάσκαλος τοῦ Ἰσραὴλ (John 3:10)?
  • Solving for the CDF of the Geometric Probability Distribution
    Stack Exchange Network Stack Exchange network consists of 183 Q A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers





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