2015•RePEc: Research Papers in EconomicsRequires access

MVTNORM: Stata module to work with the multivariate normal and multivariate t distributions, with and without variable truncation

Michael J. Grayling, Adrian Mander

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Abstract

A set of commands that allows users to evaluate different distributional quantities of the multivariate normal distribution, and a particular type of non-central multivariate t distribution. Specifically, their probability density functions, distribution functions, equicoordinate quantiles, and pseudo-random vectors can be computed, either in the absence or presence of variable truncation. The commands are written in a combination of Stata and Mata for speed. In addition, a set of corresponding Mata functions is provided.

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A set of commands that allows users to evaluate different distributional quantities of the multivariate normal distribution, and a particular type of non-central multivariate t distribution. Specifically, their probability density functions, distribution functions, equicoordinate quantiles, and pseudo-random vectors can be computed, either in the absence or presence of variable truncation. The commands are written in a combination of Stata and Mata for speed. In addition, a set of corresponding Mata functions is provided.

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Available abstract

A set of commands that allows users to evaluate different distributional quantities of the multivariate normal distribution, and a particular type of non-central multivariate t distribution. Specifically, their probability density functions, distribution functions, equicoordinate quantiles, and pseudo-random vectors can be computed, either in the absence or presence of variable truncation. The commands are written in a combination of Stata and Mata for speed. In addition, a set of corresponding Mata functions is provided.

Key concepts: Multivariate statistics, Truncation (statistics), Mathematics, Multivariate t-distribution, Quantile, Multivariate analysis, Statistics, Multivariate normal distribution

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