| 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 |
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| Библиографическая ссылка | Shane, R. M., D. P.Gaver, Determination of optimal flood protection levels with small exceedance probabilities, Water Resour. Res., 56, 1223–1228, 1969. |
| 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. |