JOURNAL ARTICLE

Identification of the Ordered Bivariate Normal Distribution by Minimum Variate

Dennis GillilandJames Hannan

Year: 1980 Journal:   Journal of the American Statistical Association Vol: 75 (371)Pages: 651-654

Abstract

Abstract For full-rank covariance matrix and other subfamilies of the ordered bivariate normal distribution, the identifiability of parameters by the minimum variate is demonstrated. For the general family, the distribution is not identified. These identifiability questions arise in connection with estimation within certain econometric models, for example, Tobin and Fair-Jaffee.

Keywords:
Identifiability Random variate Mathematics Bivariate analysis Multivariate normal distribution Statistics Econometrics Covariance matrix Covariance Rank (graph theory) Distribution (mathematics) Normal distribution Identification (biology) Applied mathematics Multivariate statistics Combinatorics Random variable Mathematical analysis Biology

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0.75
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Citation History

Topics

Mathematical functions and polynomials
Physical Sciences →  Mathematics →  Applied Mathematics
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Mathematical Inequalities and Applications
Physical Sciences →  Mathematics →  Applied Mathematics

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