Abstract
It is shown that a km-variate normal probability integral over a rectangular region can be expressed as an iterated k-variate normal integral when the k sets of m variates each have a certain commonly realized block covariance structure. The latter representation is much easier to evaluate numerically than is the former. This result generalizes previous results for k= 1 of Dunnett & Sobel and Steck & Owen.
Original language | English (US) |
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Pages (from-to) | 615-619 |
Number of pages | 5 |
Journal | Biometrika |
Volume | 61 |
Issue number | 3 |
DOIs | |
State | Published - Dec 1974 |
Keywords
- Block covariance strucutre
- Multivariate normal integral
- Multivariate normal probabilities
- Numerical integration
- Ranking and selection procedures
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics(all)
- Agricultural and Biological Sciences (miscellaneous)
- Agricultural and Biological Sciences(all)
- Statistics, Probability and Uncertainty
- Applied Mathematics