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  2. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Regression is a statistical technique used to help investigate how variation in one or more variables predicts or explains variation in another variable.

  3. Univariate (statistics) - Wikipedia

    en.wikipedia.org/wiki/Univariate_(statistics)

    Univariate is a term commonly used in statistics to describe a type of data which consists of observations on only a single characteristic or attribute. A simple example of univariate data would be the salaries of workers in industry. [1]

  4. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    In statistics, bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable. [1] It is a specific but very common case of multivariate data.

  5. Univariate - Wikipedia

    en.wikipedia.org/wiki/Univariate

    In mathematics, a univariate object is an expression, equation, function or polynomial involving only one variable.Objects involving more than one variable are multivariate.

  6. Univariate distribution - Wikipedia

    en.wikipedia.org/wiki/Univariate_distribution

    Continuous uniform distribution. One of the simplest examples of a discrete univariate distribution is the discrete uniform distribution, where all elements of a finite set are equally likely.

  7. Multivariate normal distribution - Wikipedia

    en.wikipedia.org/wiki/Multivariate_normal...

    In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional normal distribution to higher dimensions.

  8. Bivariate - Wikipedia

    en.wikipedia.org/wiki/Bivariate

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  9. Delta method - Wikipedia

    en.wikipedia.org/wiki/Delta_method

    By definition, a consistent estimator B converges in probability to its true value β, and often a central limit theorem can be applied to obtain asymptotic normality: (,),