Bootstrapping extremes of random variables under power normalization

Author:

Nigm E. M.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Angus, J. (1993). Asymptotic theory for bootstrapping the extremes.Communications in Statistics. Theory and Methods, 22(1):15–30.

2. Arcones, M. A. andGiné, E. (1989). The bootstrap of the mean with arbitrary bootstrap sample size.Annales de l'Institut Henri Poincaré. Probabilités et Statistiques, 25:457–481.

3. Arnold, B. C., Balakrishnan, N., andNagaraja, H. N. (1992).A First Course in Order Statistics. John Wiley & Sons, New York.

4. Athreya, K. B. (1987). Bootstrap of the mean in the infinite variance case.The Annals of Statistics, 15:724–731.

5. Barakat, H. M. andNigm, E. M. (2002). Extreme order statistics under power normalization and random sample size.Kuwait Journal of Science and Engineering, 29(1):27–41.

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1. Bootstrap Method for Order Statistics and Modeling Study of the Air Pollution;Communications in Statistics - Simulation and Computation;2014-12-10

2. Bootstrap for Extreme Generalized Order Statistics;Arabian Journal for Science and Engineering;2011-09-10

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