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Extreme order statistics

✍ Scribed by Wolfhard Janke; Bernd A. Berg; Alain Billoire


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
265 KB
Volume
119
Category
Article
ISSN
0920-5632

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✦ Synopsis


Extreme order statistics has recently been conjectured to be of relevance for a large class of correlated systems, including critical phenomena, turbulent flow problems, some self-organized systems, percolation and other models of lattice field theory. For certain probability densities the theory predicts the characteristic large I fall-off behavior f(z) 0; exp(-ae2), a > 0, usually called Gumbel's first asymptote. Using the multi-overlap algorithm we have tested this prediction over many decades for the overlap distribution P(q) of (i) the Edwards-Anderson Ising spin glass and (ii) the standard Ising model in three dimensions.


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Bayesian Prediction Regions for the Extr
✍ Prof. G. S. Lingappaiah πŸ“‚ Article πŸ“… 1984 πŸ› John Wiley and Sons 🌐 English βš– 362 KB

In this paper, prediction bounds for the order statistics are dealt with. For this purpose, predictive dietributions derived by Bayesian approach, are utilized. In particular, bounds for the smallest and the largest order statistics are set when a series of samples are drawn from exponential, Pareto