Accession Number:

ADA207881

Title:

Conditional Dependence

Descriptive Note:

Final rept. 1 Aug 1985-1988

Corporate Author:

ILLINOIS STATE PSYCHIATRIC INST CHICAGO BIOMETRIC LAB

Report Date:

1989-03-15

Pagination or Media Count:

33.0

Abstract:

The probability of m correlated random variables drawn from a multivariate normal distribution being non-negative is given. Exact results for this probability integral are unavailable for m 3. Approximations for higher dimensional problems have generally yielded poor results for special cases, such as compound symmetry, which is of limited value in practice. The purpose of this paper is to present a general approximation of this probability integral. The algorithm developed here is computationally tractable for m 50 and accurate for very general correlational structures. The performance of this algorithm is compared to results based on Clarks 1961 original approximation, Gaussian quadrature formulae, and Monte Carlo simulation methods. Application of this approximation to problems of conditional dependence in IRT estimation problems is discussed.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE