Abstract
Let (Formula presented.) be a multivariate normal random vector. We derive explicit expressions for the cumulative distribution function, probability density function and the moments of (Formula presented.). Each expression involves single infinite sums of known special functions. Computational issues like accuracy, convergence, time and simulations are investigated.
Original language | English |
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Journal | Communications in Statistics - Theory and Methods |
Early online date | 29 Oct 2018 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- Maximum
- moments
- multivariate normal distribution