Bootstrap for Extreme Generalized Order Statistics
โ Scribed by H. M. Barakat; E. M. Nigm; Magdy E. El-Adll
- Book ID
- 107702116
- Publisher
- Springer-Verlag
- Year
- 2011
- Tongue
- English
- Weight
- 313 KB
- Volume
- 36
- Category
- Article
- ISSN
- 1319-8025
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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 pr
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