The evaluation of general non-centred orthant probabilities

被引:69
作者
Miwa, T
Hayter, AJ
Kuriki, S
机构
[1] Natl Inst Agroenvironm Sci, Tsukuba, Ibaraki 3058604, Japan
[2] Georgia Inst Technol, Atlanta, GA 30332 USA
[3] Inst Stat Math, Minato Ku, Tokyo 106, Japan
关键词
cumulative distribution function; orthant probability; orthoscheme probability; polyhedral cone; recursive integration;
D O I
10.1111/1467-9868.00382
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 Schlafli 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.
引用
收藏
页码:223 / 234
页数:12
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