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The evaluation of general non-centred orthant probabilities
Authors:Tetsuhisa Miwa  A J Hayter  Satoshi Kuriki
Institution:National Institute for Agro-Environmental Sciences, Tsukuba, Japan; Georgia Institute of Technology, Atlanta, USA; and Institute of Statistical Mathematics, Tokyo, Japan
Abstract:Summary. The evaluation of the cumulative distribution function of a multivariate normal distribution is considered. The multivariate normal distribution can have any positive definite correlation matrix and any mean vector. The approach taken has two stages. In the first stage, it is shown how non-centred orthoscheme probabilities can be evaluated by using a recursive integration method. In the second stage, some ideas of Schläfli and Abrahamson are extended to show that any non-centred orthant probability can be expressed as differences between at most ( m ?1)! non-centred orthoscheme probabilities. This approach allows an accurate evaluation of many multivariate normal probabilities which have important applications in statistical practice.
Keywords:Cumulative distribution function  Orthant probability  Orthoscheme probability  Polyhedral cone  Recursive integration
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