Comparison of Methods for Estimating Low Flow Characteristics of Streams
Four methods for estimating the 7-day, 10-year and 7-day, 20-year low flows for streams are compared by the bootstrap method. The bootstrap method is a Monte Carlo technique in which random samples are drawn from an unspecified sampling distribution defined from observed data. The nonparametric nature of the bootstrap makes it suitable for comparing methods based on a flow series for which the true distribution is unknown. Results show that the two methods based on hypothetical distribution (Log-Pearson III and Weibull) had lower mean square errors than did the G. E. P. Box-D. R. Cox transformation method or the Log-W. C. Boughton method which is based on a fit of plotting positions.
Citation Information
Publication Year | 1987 |
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Title | Comparison of Methods for Estimating Low Flow Characteristics of Streams |
DOI | 10.1111/j.1752-1688.1987.tb00858.x |
Authors | Gary D. Tasker |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Water Resources Bulletin |
Index ID | 70014804 |
Record Source | USGS Publications Warehouse |