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  2. 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]

  3. 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.

  4. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Simple linear regression is a statistical method used to model the linear relationship between an independent variable and a dependent variable.

  5. Delta method - Wikipedia

    en.wikipedia.org/wiki/Delta_method

    Download as PDF; Printable version; In other projects Wikidata item; In statistics, the delta method is a method of deriving the asymptotic distribution of a random ...

  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. Download for award-winning coverage, crosswords, audio storytelling, the eNewspaper and more. This article originally appeared on USA TODAY: Super Bowl 59 ticket prices: How much does Chiefs vs. ...

  8. Unit root test - Wikipedia

    en.wikipedia.org/wiki/Unit_root_test

    In statistics, a unit root test tests whether a time series variable is non-stationary and possesses a unit root.The null hypothesis is generally defined as the presence of a unit root and the alternative hypothesis is either stationarity, trend stationarity or explosive root depending on the test used.

  9. General linear model - Wikipedia

    en.wikipedia.org/wiki/General_linear_model

    The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that sense it is not a separate statistical linear model.