Автор |
Shane, Richard M. |
Автор |
Gaver, Donald P. |
Дата выпуска |
1970 |
dc.description |
Two statistical estimating procedures are presented for using regression information along with direct observations to obtain estimates of the expected value of peak flood discharge rates exceeding a constant base. The first type of estimate represents the minimum mean squared error linear combination of regression and direct estimates, whereas the second is a Bayesian estimate based on an objective prior distribution associated with the regression model. A comparison of combined estimates to regression and direct estimates used alone indicates that a significant reduction in the mean squared error is obtained by using combined estimates. A comparison of the two methods for obtaining a combined estimate indicates that in many cases they both give essentially the same result. |
Формат |
application.pdf |
Копирайт |
Copyright 1970 by the American Geophysical Union. |
Название |
Statistical Decision Theory Techniques for the Revision of Mean Flood Flow Regression Estimates |
Тип |
article |
DOI |
10.1029/WR006i006p01649 |
Electronic ISSN |
1944-7973 |
Print ISSN |
0043-1397 |
Журнал |
Water Resources Research |
Том |
6 |
Первая страница |
1649 |
Последняя страница |
1654 |
Выпуск |
6 |
Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
DeGroot, M. H., Optimal Statistical Decisions, McGraw‐Hill, New York, 1970. |
Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
Shane, R. M., W. R.Lynn, Mathematical model for flood risk evaluation, J. Hydraul. Div., Amer. Soc. Civil Eng., 90HY6, 1–20, 1964. |