By definition, VaR is a particular characteristic of the probability distribution of the underlying ( namely, VaR is essentially a quantile ).
32.
Monte-Carlo simulations employ quantile functions to produce non-uniform random or pseudorandom numbers for use in diverse types of simulation calculations.
33.
Another application of quantile regression is in the areas of growth charts, where percentile curves are commonly used to screen for abnormal growth.
34.
Quantile regression does not have this structure, and instead leads to problems in linear programming that can be solved by the simplex method.
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In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution.
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In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution.
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Where z is the 1-\ frac { 1 } { 2 } \ alpha quantile of a standard normal distribution, as before.
38.
Quantile normalization, also part of RMA, is one sensible approach to normalize a batch of arrays in order to make further comparisons meaningful.
39.
Less commonly, the focus is on a quantile, or other location parameter of the conditional distribution of the dependent variable given the independent variables.
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Where z _ { \ alpha / 2 } corresponds to the 1-\ alpha / 2 quantile of a standard normal random variable, and
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