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Titlebook: Advances in the Statistical Sciences: Stochastic Hydrology; Volume IV Festschrif Ian B. MacNeill,Gary J. Umphrey,A. Ian McLeod Book 1987 D.

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發(fā)表于 2025-3-21 18:41:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in the Statistical Sciences: Stochastic Hydrology
期刊簡(jiǎn)稱Volume IV Festschrif
影響因子2023Ian B. MacNeill,Gary J. Umphrey,A. Ian McLeod
視頻videohttp://file.papertrans.cn/151/150260/150260.mp4
學(xué)科分類The Western Ontario Series in Philosophy of Science
圖書封面Titlebook: Advances in the Statistical Sciences: Stochastic Hydrology; Volume IV Festschrif Ian B. MacNeill,Gary J. Umphrey,A. Ian McLeod Book 1987 D.
影響因子On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V. M. Joshi. These symposia were chosen to reflect Professor Joshi‘s research interests as well as areas of expertise in statistical science among faculty in the Departments of Statistical and Actuarial Sciences, Economics, Epidemiology and Biostatistics, and Philosophy. From these symposia, the six volumes which comprise the "Joshi Festschrift" have arisen. The 117 articles in this work reflect the broad interests and high quality of research of those who attended our conference. We would like to thank alI of the contributors for their superb cooperation in helping us to complete this project. Our deepest gratitude must go to the three people who have spent so much of their time in the past year typing these volumes: Jackie BeU, Lise Constant, and Sandy Tamowski. This work has been printed from "camera ready" copy produced by our Vax 785 computer and QMS Lasergraphix printers, using the text processing software TEX. At the initiation of this project, we were neophytes in the use of this system. Thank you, J ackie, Lise, and Sandy, fo
Pindex Book 1987
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Rachel A. Fusco,Mary Elizabeth Rauktisvey of this method, with special attention to recent results extending the theory to dependent random sequences. The classical rainfall/runoff prediction problem serves as focus for this study, but the methodology offered potentially has much wider application.
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The Western Ontario Series in Philosophy of Sciencehttp://image.papertrans.cn/a/image/150260.jpg
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Conclusions and Future Directions,The extreme-value distribution plays an important role in hydrology; it is used to model floods, reservoir content, tides, etc. In this article we survey some of the methods used to determine if a sample comes from the extreme-value distribution, and draw attention to some recent work on testing this assumption.
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https://doi.org/10.1007/978-94-009-4792-4Tore; hydrology; science; simulation; statistics; time series; hydrogeology
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