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  2. Categorical distribution - Wikipedia

    en.wikipedia.org/wiki/Categorical_distribution

    In probability theory and statistics, a categorical distribution (also called a generalized Bernoulli distribution, multinoulli distribution [1]) is a discrete probability distribution that describes the possible results of a random variable that can take on one of K possible categories, with the probability of each category separately specified.

  3. List of probability distributions - Wikipedia

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

    It represents a discrete probability distribution concentrated at 0 — a degenerate distribution — it is a Distribution (mathematics) in the generalized function sense; but the notation treats it as if it were a continuous distribution. The Kent distribution on the two-dimensional sphere.

  4. Category:Continuous distributions - Wikipedia

    en.wikipedia.org/wiki/Category:Continuous...

    Pages in category "Continuous distributions" The following 183 pages are in this category, out of 183 total. ... Statistics; Cookie statement; Mobile view ...

  5. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc.

  6. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    Categorical distribution, general model; Chi-squared test; Cochran–Armitage test for trend; Cochran–Mantel–Haenszel statistics; Correspondence analysis; Cronbach's alpha; Diagnostic odds ratio; G-test; Generalized estimating equations; Generalized linear models; Krichevsky–Trofimov estimator; Kuder–Richardson Formula 20; Linear ...

  7. Continuous or discrete variable - Wikipedia

    en.wikipedia.org/wiki/Continuous_or_discrete...

    In probability theory and statistics, the probability distribution of a mixed random variable consists of both discrete and continuous components. A mixed random variable does not have a cumulative distribution function that is discrete or everywhere-continuous. An example of a mixed type random variable is the probability of wait time in a queue.

  8. Probability distribution - Wikipedia

    en.wikipedia.org/wiki/Probability_distribution

    An absolutely continuous random variable is a random variable whose probability distribution is absolutely continuous. There are many examples of absolutely continuous probability distributions: normal, uniform, chi-squared, and others.

  9. Category:Multivariate continuous distributions - Wikipedia

    en.wikipedia.org/wiki/Category:Multivariate...

    Pages in category "Multivariate continuous distributions" The following 31 pages are in this category, out of 31 total. ... Statistics; Cookie statement ...