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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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