Monte Carlo Computation Of Multivariate T Probabilities


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Computation of Multivariate Normal and t Probabilities


Computation of Multivariate Normal and t Probabilities

Author: Alan Genz

language: en

Publisher: Springer Science & Business Media

Release Date: 2009-07-09


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Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications.

Monte-Carlo Computation of Multivariate T Probabilities


Monte-Carlo Computation of Multivariate T Probabilities

Author: T. Takahashi

language: en

Publisher:

Release Date: 1990


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Monte Carlo and Quasi-Monte Carlo Methods


Monte Carlo and Quasi-Monte Carlo Methods

Author: Ronald Cools

language: en

Publisher: Springer

Release Date: 2016-06-13


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This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.