New methods for generating Student's t and gamma variables
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Publication:1144896
DOI10.1007/BF02285231zbMath0444.65005OpenAlexW56852211MaRDI QIDQ1144896
A. J. Kinderman, John F. Monahan
Publication date: 1980
Published in: Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02285231
Monte Carlo methods (65C05) Random number generation in numerical analysis (65C10) Probabilistic methods, stochastic differential equations (65C99)
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Minimum anderson-darling estimation ⋮ Computer generation of random variates from the tail of t and normal distributions ⋮ SISAM and MIXIN: Two algorithms for the computation of posterior moments and densities using Monte Carlo integration ⋮ The transformed rejection method for generating random variables, an alternative to the ratio of uniforms method ⋮ The ratio of uniforms approach for generating discrete random variates ⋮ Transformations and random variate generation:generalised ratio-of-uniforms methods ⋮ THE WRAPPED t FAMILY OF CIRCULAR DISTRIBUTIONS ⋮ On computer generation of random vectors by transformations of uniformly distributed vectors ⋮ Random variate generators for the Poisson-Poisson and related distributions ⋮ Modeling and Generating Stochastic Inputs for Simulation Studies ⋮ A 1-1 poly-t random variable generator with application to Monte Carlo integration
Cites Work
- The squeeze method for generating gamma variates
- Computer methods for sampling from gamma, beta, Poisson and binomial distributions
- Computer Methods for Sampling from Student's t Distribution
- Computer Generation of Random Variables Using the Ratio of Uniform Deviates
- Computer generation of gamma random variables—II
- Generalized Feedback Shift Register Pseudorandom Number Algorithm
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