1975Journal of Statistical Computation and SimulationRequires access

A short table for computing normal orthant probabilities of dimensions 4 and 5

J. E. Dutt, Tsan-long Lin

Open publisher page 10 citations

Abstract

A short of the quadravariate normal orthant probability P 4 is presented which, except for near singular correlation matrices, is generally accurate to 7+ significant digits. Since the quinvariate orthant probability P 5is expressed in terms of five copies of P 4, such a table is also useful for computing P 5

About this research paper

What this paper is about

A short of the quadravariate normal orthant probability P 4 is presented which, except for near singular correlation matrices, is generally accurate to 7+ significant digits. Since the quinvariate orthant probability P 5is expressed in terms of five copies of P 4, such a table is also useful for computing P 5

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A short of the quadravariate normal orthant probability P 4 is presented which, except for near singular correlation matrices, is generally accurate to 7+ significant digits. Since the quinvariate orthant probability P 5is expressed in terms of five copies of P 4, such a table is also useful for computing P 5

Key concepts: Orthant, Mathematics, Table (database), Statistics, Combinatorics, Applied mathematics, Data mining, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
A short table for computing normal orthant probabilities of dimensions 4 and 5 — Research Paper | ScholarLens