Definition
Assuming a continuous and strictly monotonic distribution function, the quantile function returns the value below which random draws from the given distribution would fall, p×100 percent of the time. That is, it returns the value of x such that
If the probability distribution is discrete rather than continuous then there may be gaps between values in the domain of its cdf, while if the cdf is only weakly monotonic there may be "flat spots" in its range. In either case, the quantile function is
for a probability 0 < p < 1, and the quantile function returns the minimum value of x for which the previous probability statement holds.
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