## Abstract This note gives an easily verified necessary and sufficient condition for one probability forecaster to empirically outperform another one in terms of all strictly proper scoring rules.βCopyright Β© 2006 John Wiley & Sons, Ltd.
Multivariate Probability in Terms of Marginal Probability and Correlation Coefficient
β Scribed by Prof. E. Seneta
- Publisher
- John Wiley and Sons
- Year
- 1987
- Tongue
- English
- Weight
- 283 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper is motivated by a practical problem relating to student performance in a number of subjects of equal standing. Its mathematical formulation is to find an approximation to a multivariate probability of the form Pr {&ma, &La, ..., X N &a} for arbitrary a and N, in terms of p = P r { X i m a } and @=Corn (xi, xi), i+j, where Xi, i = l , ..., N are exchangeeble random variables with mean 0 and variance unity.
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