Variate

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  • statistics, a random variate or simply variate is a particular outcome or realization of a random variable; the random variates which are other outcomes...
  • Thumbnail for Gamma distribution
    simple transformation-rejection method relying on one normal variate X and one uniform variate U: Set d = a − 1 3 {\displaystyle d=a-{\frac {1}{3}}} and...
  • Non-uniform random variate generation or pseudo-random number sampling is the numerical practice of generating pseudo-random numbers (PRN) that follow...
  • The control variates method is a variance reduction technique used in Monte Carlo methods. It exploits information about the errors in estimates of known...
  • In statistics, the antithetic variates method is a variance reduction technique used in Monte Carlo methods. Considering that the error in the simulated...
  • statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices...
  • Thumbnail for Exponential distribution
    simple method for generating exponential variates is based on inverse transform sampling: Given a random variate U drawn from the uniform distribution on...
  • Thumbnail for Realization (probability)
    a realization of X. Errors and residuals Outcome (probability) Random variate Raw data A random variable cannot be an arbitrary function; it needs to...
  • Thumbnail for Inverse transform sampling
    components. Rejection sampling is another common technique to generate random variates that does not rely on inversion of the CDF. Aalto University, N. Hyvönen...
  • In statistics, the matrix variate beta distribution is a generalization of the beta distribution. If U{\displaystyle U} is a p×p{\displaystyle p\times...
  • Thumbnail for Britney Spears
    artists such as Nicole Scherzinger and Ariana Grande. It has been used in variating forms throughout her music, such as simply, "baby" and "oh baby", as well...
  • In statistics, Bayesian multivariate linear regression is a Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted...
  • Thumbnail for Multivariate normal distribution
    higher dimensions. One definition is that a random vector is said to be k-variate normally distributed if every linear combination of its k components has...
  • Thumbnail for Hotelling's T-squared distribution
    − 1 ) Σ ^ {\displaystyle (n-1){\hat {\mathbf {\Sigma } }}} follows a p-variate Wishart distribution with n − 1 degrees of freedom. The sample covariance...
  • Thumbnail for Triangular distribution
    {1}{24}}\end{aligned}}} Given a random variate U drawn from the uniform distribution in the interval (0, 1), then the variate X={a+U(b−a)(c−a) for 0
  • Thumbnail for Gumbel distribution
    ⁡ ( − ln ⁡ ( p ) ) , {\displaystyle Q(p)=\mu -\beta \ln(-\ln(p)),} the variate Q ( U ) {\displaystyle Q(U)} has a Gumbel distribution with parameters...
  • Thumbnail for Nakagami distribution
    The Nakagami distribution or the Nakagami-m distribution is a probability distribution related to the gamma distribution. It is used to model physical...
  • Thumbnail for Continuous uniform distribution
    {\displaystyle 1-u_{1}.} This property can be used for generating antithetic variates, among other things. In other words, this property is known as the inversion...
  • Thumbnail for Poisson distribution
    _{2}-\theta _{12}} }],. The less trivial task is to draw integer random variate from the Poisson distribution with given λ . {\displaystyle \lambda .}...
  • Thumbnail for Pareto distribution
    transform sampling. Given a random variate U drawn from the uniform distribution on the unit interval (0, 1], the variate T given by T = x m U 1 / α {\displaystyle...
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