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Titlebook: Extreme Value Theory and Applications; Proceedings of the C Janos Galambos,James Lechner,Emil Simiu Conference proceedings 1994 Kluwer Acad

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樓主: crusade
31#
發(fā)表于 2025-3-26 23:30:26 | 只看該作者
32#
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33#
發(fā)表于 2025-3-27 05:40:10 | 只看該作者
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發(fā)表于 2025-3-27 12:10:00 | 只看該作者
Concomitants of Extreme Order Statistics The special case of a linear regression linking X and Y is examined in detail and a theorem of Galambos (1978) is generalized. Results on the joint distribution of concomitants of extremes are reviewed and some applications are indicated.
35#
發(fā)表于 2025-3-27 15:21:37 | 只看該作者
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發(fā)表于 2025-3-27 19:09:43 | 只看該作者
Conference proceedings 1994ics and even astronomy. We believe that our field has come of age. In or~er to fully utilize the great progress in the theory of extremes and its ever increasing acceptance in practice, an international conference was organized in which equal weight was given to theory and practice. This book is Vol
37#
發(fā)表于 2025-3-27 23:51:24 | 只看該作者
on, economics and even astronomy. We believe that our field has come of age. In or~er to fully utilize the great progress in the theory of extremes and its ever increasing acceptance in practice, an international conference was organized in which equal weight was given to theory and practice. This book is Vol978-1-4613-3640-2978-1-4613-3638-9
38#
發(fā)表于 2025-3-28 02:41:01 | 只看該作者
39#
發(fā)表于 2025-3-28 07:25:19 | 只看該作者
https://doi.org/10.1007/978-3-322-88013-0o extreme wave conditions depending on its flexibility and type. This paper presents extreme value distributions that can be used for linear systems such as tankers and non-linear systems such as jack up platforms. The results of application to these structures are compared and discussed.
40#
發(fā)表于 2025-3-28 11:16:47 | 只看該作者
DIC Texturing for Solvent Extractionclassical extreme value theory does not apply. This asymptotic theory is looked at from the point of view parametrics, semiparametrics and nonparametrics with due emphasis on the related robustness aspects. Some extensions to more complex models are considered, and the role of resampling methods is briefly examined.
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