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Estimation of parameters and quantiles of Wakeby Distributions: 1. Known lower bounds
Author(s) -
Landwehr J. Maciunas,
Matalas N. C.,
Wallis J. R.
Publication year - 1979
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr015i006p01361
Subject(s) - quantile , mathematics , statistics , estimation , upper and lower bounds , variable (mathematics) , distribution (mathematics) , random variable , mathematical analysis , management , economics
An algorithm based on the use of probability weighted moments allows estimation of the parameters of the Wakeby distribution. In the case where the lower bound is known, the quantile estimates, unlike the parameter estimates, tend to be neither highly biased nor highly variable, even for samples of small size ( n = 5).