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uncertml.org

UncertML Exchanging uncertainty since 2006.

Below are a series of questions and answers to give you a brief insight to UncertML. If you have any comments or questions then please feel free to join the discussion on the official UncertML forum. UncertML is a conceptual model, with accompanying XML schema, that may be used to quantify. Model can be used to describe uncertainty in a variety of ways including:. Including mean, variance, standard deviation and quantile. Including marginal and joint distributions and mixture models. When the uncertainti...

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    PAGE TITLE
    UncertML : Exchanging uncertainty since 2006. | uncertml.org contacts
    <META>
    DESCRIPTION
    Below are a series of questions and answers to give you a brief insight to UncertML. If you have any comments or questions then please feel free to join the discussion on the official UncertML forum. UncertML is a conceptual model, with accompanying XML schema, that may be used to quantify. Model can be used to describe uncertainty in a variety of ways including:. Including mean, variance, standard deviation and quantile. Including marginal and joint distributions and mixture models. When the uncertainti...
    <META>
    KEYWORDS
    11 percentile
    12 probability
    13 quantile
    14 quartile
    15 range
    16 skewness
    17 standarddeviation
    18 variance
    19 distributions
    20 bernoullidistribution
    CONTENT
    Below are a series of questions and answers to give you a brief insight to UncertML. If you have any comments or questions then please feel free to join the discussion on the official UncertML forum. UncertML is a conceptual model, with accompanying XML schema, that may be used to quantify. Model can be used to describe uncertainty in a variety of ways including. Including mean, variance, standard deviation and quantile. Including marginal and joint distributions and mixture models. When the uncertainti.
    KEYWORDS ON
    PAGE
    correlation, covariancematrix, credibleinterval, discreteprobability, interquartilerange, kurtosis, mean, median, mode, moment, percentile, probability, quantile, quartile, range, skewness, standarddeviation, variance, distributions, bernoullidistribution, betadistribution
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    UncertML Exchanging uncertainty since 2006.

    https://uncertml.org

    Below are a series of questions and answers to give you a brief insight to UncertML. If you have any comments or questions then please feel free to join the discussion on the official UncertML forum. UncertML is a conceptual model, with accompanying XML schema, that may be used to quantify. Model can be used to describe uncertainty in a variety of ways including:. Including mean, variance, standard deviation and quantile. Including marginal and joint distributions and mixture models. When the uncertainti...

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