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A COMPARISON OF METHODS FOR ESTIMATING LOW FLOW CHARACTERISTICS OF STREAMS 1
Author(s) -
Tasker Gary D.
Publication year - 1987
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1987.tb00858.x
Subject(s) - weibull distribution , statistics , monte carlo method , nonparametric statistics , mathematics , series (stratigraphy) , streams , sampling (signal processing) , transformation (genetics) , flow (mathematics) , computer science , detector , paleontology , computer network , biochemistry , chemistry , gene , telecommunications , geometry , biology
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 distributions (Log‐Pearson III and Weibull) had lower mean square errors than did the Box‐Cox transformation method or the Log‐Boughton method which is based on a fit of plotting positions.