© 1994 by Biometrika Trust
MISCELLANEA |
A note on the quadratic exponential binary distribution
1Nuffield College Oxford OX1 INF, U. K.
2Psychological Institute, University of Mainz Mainz, D-55099, Germany
The joint distribution of p binary variables is studied in the quadratic exponential form containing only main effects and two-factor interactions in the log probabilities. Approximate versions of marginalized forms of the distribution are studied based on Taylor expansion and a number of conclusions drawn.
Key Words: Binary data Log linear model Multivariate analysis Yule-Simpson paradox
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
F. Bartolucci and F. Pennoni On the approximation of the quadratic exponential distribution in a latent variable context Biometrika, August 5, 2007; (2007) asm045v1. [Abstract] [PDF] |
||||
![]() |
R. Dittrich, B. Francis, R. Hatzinger, and W. Katzenbeisser A paired comparison approach for the analysis of sets of Likert-scale responses Statistical Modeling, April 1, 2007; 7(1): 3 - 28. [Abstract] [PDF] |
||||
![]() |
C. Faes, H. Geys, M. Aerts, and G. Molenberghs Use of fractional polynomials for dose-response modelling and quantitative risk assessment in developmental toxicity studies Statistical Modeling, July 1, 2003; 3(2): 109 - 125. [Abstract] [PDF] |
||||

