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  2. PERT distribution - Wikipedia

    en.wikipedia.org/wiki/PERT_distribution

    [2] [3] The PERT distribution is widely used in risk analysis [4] to represent the uncertainty of the value of some quantity where one is relying on subjective estimates, because the three parameters defining the distribution are intuitive to the estimator. The PERT distribution is featured in most simulation software tools.

  3. Probability distribution fitting - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution...

    Such an interval also estimates the risk of failure, i.e. the chance that the predicted event still remains outside the confidence interval. The confidence or risk analysis may include the return period T=1/Pe as is done in hydrology.

  4. Skewness risk - Wikipedia

    en.wikipedia.org/wiki/Skewness_risk

    Skewness risk can arise in any quantitative model that assumes a symmetric distribution (such as the normal distribution) but is applied to skewed data. Ignoring skewness risk, by assuming that variables are symmetrically distributed when they are not, will cause any model to understate the risk of variables with high skewness.

  5. Risk management tools - Wikipedia

    en.wikipedia.org/wiki/Risk_management_tools

    Risk management tools help address uncertainty by identifying risks, generating metrics, setting parameters, prioritizing issues, developing responses, and tracking risks. [1] Without the use of these tools, techniques, documentation, and information systems, it can be challenging to effectively monitor these activities.

  6. Skewness - Wikipedia

    en.wikipedia.org/wiki/Skewness

    Skewness can be used to obtain approximate probabilities and quantiles of distributions (such as value at risk in finance) via the Cornish–Fisher expansion. Many models assume normal distribution; i.e., data are symmetric about the mean. The normal distribution has a skewness of zero. But in reality, data points may not be perfectly symmetric.

  7. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The beta negative binomial distribution; The Boltzmann distribution, a discrete distribution important in statistical physics which describes the probabilities of the various discrete energy levels of a system in thermal equilibrium.

  8. Risk - Wikipedia

    en.wikipedia.org/wiki/Risk

    Firefighters are exposed to risks of fire and building collapse during their work.. In simple terms, risk is the possibility of something bad happening. [1] Risk involves uncertainty about the effects/implications of an activity with respect to something that humans value (such as health, well-being, wealth, property or the environment), often focusing on negative, undesirable consequences. [2]

  9. Mixture distribution - Wikipedia

    en.wikipedia.org/wiki/Mixture_distribution

    In probability and statistics, a mixture distribution is the probability distribution of a random variable that is derived from a collection of other random variables as follows: first, a random variable is selected by chance from the collection according to given probabilities of selection, and then the value of the selected random variable is realized.

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