• In mathematics, a univariate object is an expression, equation, function or polynomial involving only one variable. Objects involving more than one variable...
    2 KB (255 words) - 01:18, 13 May 2024
  • 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...
    12 KB (1,513 words) - 16:24, 14 June 2024
  • In statistics, a univariate distribution is a probability distribution of only one random variable. This is in contrast to a multivariate distribution...
    3 KB (245 words) - 03:22, 28 April 2024
  • Thumbnail for Time series
    time series analysis may also be divided into linear and non-linear, and univariate and multivariate. A time series is one type of panel data. Panel data...
    41 KB (4,860 words) - 10:44, 1 October 2024
  • with complex coefficients. A polynomial in one indeterminate is called a univariate polynomial, a polynomial in more than one indeterminate is called a multivariate...
    60 KB (8,176 words) - 12:01, 6 October 2024
  • function is the sum, since every other function can be written using univariate functions and summing.: 180  The Kolmogorov–Arnold representation theorem...
    23 KB (3,568 words) - 05:55, 28 September 2024
  • Thumbnail for Relationships among probability distributions
    distributions (see also Discrete-stable distribution). Examples of such univariate distributions are: normal distributions, Poisson distributions, binomial...
    21 KB (2,366 words) - 09:24, 10 September 2024
  • Thumbnail for Multivariate normal distribution
    joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions. One definition is that a random...
    65 KB (9,519 words) - 19:47, 3 October 2024
  • Thumbnail for Quadratic function
    where both terms are often abbreviated as "quadratic". For example, a univariate (single-variable) quadratic function has the form f ( x ) = a x 2 + b...
    17 KB (2,936 words) - 00:21, 24 September 2024
  • or as several independent univariate tests. In multivariate tests the columns of Y are tested together, whereas in univariate tests the columns of Y are...
    11 KB (1,192 words) - 07:42, 24 May 2024
  • or several univariate equations. For this computation, it is preferable to use a representation that involves solving only one univariate polynomial per...
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  • Thumbnail for Normal distribution
    Student's t, and logistic distributions). (For other names, see Naming.) The univariate probability distribution is generalized for vectors in the multivariate...
    150 KB (22,467 words) - 21:01, 4 October 2024
  • Thumbnail for Probability density function
    density function is most commonly associated with absolutely continuous univariate distributions. A random variable X {\displaystyle X} has density f X {\displaystyle...
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  • rationals. For many authors, the term algebraic equation refers only to the univariate case, that is polynomial equations that involve only one variable. On...
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  • the noise distributions), in units of the standard deviation. For two univariate distributions a {\displaystyle a} and b {\displaystyle b} with the same...
    12 KB (1,820 words) - 16:55, 30 July 2024
  • multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between...
    17 KB (1,859 words) - 17:39, 19 February 2024
  • Thumbnail for Kernel density estimation
    xn) be independent and identically distributed samples drawn from some univariate distribution with an unknown density ƒ at any given point x. We are interested...
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  • Thumbnail for Probability distribution
    is called univariate, while a distribution whose sample space is a vector space of dimension 2 or more is called multivariate. A univariate distribution...
    47 KB (6,403 words) - 14:52, 16 August 2024
  • absolute deviation (MAD) is a robust measure of the variability of a univariate sample of quantitative data. It can also refer to the population parameter...
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  • order for these statistics to exist, the observations must be from a univariate variable that can be measured on an ordinal, interval or ratio scale....
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  • Thumbnail for Descriptive statistics
    investments in order to make better investing decisions in the future. Univariate analysis involves describing the distribution of a single variable, including...
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  • data: Statistical tests use different types of data. Some tests perform univariate analysis on a single sample with a single variable. Others compare two...
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  • Numerical method used to approximate solutions of univariate equations...
    34 KB (5,176 words) - 20:55, 19 July 2024
  • In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...
    31 KB (4,224 words) - 09:57, 24 April 2024
  • In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE),...
    41 KB (9,310 words) - 02:22, 10 March 2024
  • Thumbnail for Chi-squared distribution
    {\displaystyle \chi _{k}^{2}} is a special case of the gamma distribution and the univariate Wishart distribution. Specifically if X ∼ χ k 2 {\displaystyle X\sim \chi...
    44 KB (6,541 words) - 02:45, 29 August 2024
  • Thumbnail for Poisson distribution
    Poisson distribution can be deduced from the limiting distribution of univariate multinomial distribution. It is also a special case of a compound Poisson...
    81 KB (11,248 words) - 16:53, 25 August 2024
  • In algebra, a monic polynomial is a non-zero univariate polynomial (that is, a polynomial in a single variable) in which the leading coefficient (the nonzero...
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  • Thumbnail for Normal-inverse-gamma distribution
    {\displaystyle \alpha >1} Mode x = μ (univariate) , x = μ (multivariate) {\displaystyle x=\mu \;{\textrm {(univariate)}},x={\boldsymbol {\mu }}\;{\textrm...
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  • Thumbnail for Median
    concepts that extend the definition of the univariate median; each such multivariate median agrees with the univariate median when the dimension is exactly...
    62 KB (7,970 words) - 14:12, 1 October 2024