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Genz, Alan - Department of Mathematics, Washington State University
Finding Critical Values Using Numerical Integration \Lambda Department of Mathematics
Methods for the Computation of Multivariate t-Probabilities
From Computing in the 90s, Proceedings of the First Great Lakes Computer Science Conference, N. A. Sherwani, E. de Doncker and J. A. Kapenga (Eds.), Lecture Notes
Stochastic Integration Rules for In nite Regions
NUMERICAL COMPUTATION OF MULTIVARIATE T PROBABILITIES WITH APPLICATION TO POWER
Fully Symmetric Interpolatory Rules for Multiple Integrals over
Numerical Computation of Rectangular Bivariate and Trivariate Normal and t Probabilities
An Adaptive Numerical Cubature Algorithm for Simplices
Stochastic Integration Rules for Infinite Regions \Lambda
An Adaptive Multidimensional Integration Routine for a Vector of Integrals.
Comparison of Methods for the Computation of Multivariate Normal Probabilities \Lambda
Numerical Evaluation of Singular Multivariate Normal Distributions
Methods for the Computation of Multivariate tProbabilities #
Methods for Generating Random Orthogonal Matrices 1
Fully Symmetric Interpolatory Rules for Multiple Integrals over Hyper-Spherical Surfaces
Approximations to multivariate t integrals with application to multiple comparison procedures
SphericalRadial Integration Rules for Bayesian Computation \Lambda John Monahan
Numerical Computation of Multivariate Normal Probabilities Department of Pure and Applied Mathematics
An Adaptive Algorithm for the Approximate Calculation of
NUMERICAL COMPUTATION OF CRITICAL VALUES FOR MULTIPLE COMPARISON PROBLEMS
SubregionAdaptive Integration of Functions Having a Dominant Peak 1
A Stochastic Algorithm for High Dimensional Integrals over Unbounded Regions with Gaussian Weight
CURRICULUM VITAE for DR. ALAN GENZ 1 Background
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NUMERICAL COMPUTATION OF MULTIVARIATE T-PROBABILITIES WITH APPLICATION TO POWER
Subregion-Adaptive Integration of Functions Having a Dominant Peak 1
