Two-Point Closures and Statistical Equilibrium

1999 ◽  
pp. 183-202 ◽  
Author(s):  
Timothy T. Clark
Keyword(s):  
Statistical Equilibrium

COPING WITH UNCERTAINTY IN n-PERSON GAMES

2000 ◽  
Vol 08 (05) ◽  
pp. 503-523 ◽  
Author(s):  
SILVIU GUIASU
Keyword(s):  
Characteristic Function ◽  
Security Council ◽  
Shapley Value ◽  
Statistical Equilibrium ◽  
Individual Rationality ◽  
Von Neumann ◽  
Minimum Deviation ◽  
The Shapley Value ◽  
Un Security Council ◽  
Person Game

A solution of n-person games is proposed, based on the minimum deviation from statistical equilibrium subject to the constraints imposed by the group rationality and individual rationality. The new solution is compared with the Shapley value and von Neumann-Morgenstern's core of the game in the context of the 15-person game of passing and defeating resolutions in the UN Security Council involving five permanent members and ten nonpermanent members. A coalition classification, based on the minimum ramification cost induced by the characteristic function of the game, is also presented.

scholarly journals Statistical equilibrium in simple exchange games I

2006 ◽  
Vol 53 (2) ◽  
pp. 267-272 ◽  
Author(s):  
E. Scalas ◽  
U. Garibaldi ◽  
S. Donadio
Keyword(s):  
Statistical Equilibrium

scholarly journals Electron fraction constraints based on nuclear statistical equilibrium with beta equilibrium

2010 ◽  
Vol 522 ◽  
pp. A25 ◽  
Author(s):  
A. Arcones ◽  
G. Martínez-Pinedo ◽  
L. F. Roberts ◽  
S. E. Woosley
Keyword(s):  
Statistical Equilibrium

scholarly journals A statistical equilibrium model of competitive firms

2012 ◽  
Vol 36 (1) ◽  
pp. 136-149 ◽  
Author(s):  
Simone Alfarano ◽  
Mishael Milaković ◽  
Albrecht Irle ◽  
Jonas Kauschke
Keyword(s):  
Equilibrium Model ◽  
Statistical Equilibrium

Topographic stress parameterization in a quasi-geostrophic barotropic model

1997 ◽  
Vol 341 ◽  
pp. 1-18 ◽  
Author(s):  
WILLIAM J. MERRYFIELD ◽  
GREG HOLLOWAY
Keyword(s):  
High Resolution ◽  
Physical Basis ◽  
Statistical Equilibrium ◽  
Low Resolution ◽  
Barotropic Model ◽  
High Resolution Models ◽  
Potential Enstrophy

The physical basis for parameterizing topographic stress due to unresolved eddies is examined in a quasi-geostrophic barotropic model. Topographic stress parameterization is shown to represent two effects of eddies: attraction of the flow to a statistical equilibrium featuring topographically correlated mean currents, and dissipation of potential enstrophy. Performance is evaluated by comparing parameterized low-resolution models with explicit high-resolution models.

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