TY - JOUR
AU - Wallis, J. R.
AB - 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).
TI - Estimation of parameters and quantiles of Wakeby Distributions: 1. Known lower bounds
JF - Water Resources Research
DO - 10.1029/WR015i006p01361
DA - 1979-12-01
UR - https://www.deepdyve.com/lp/wiley/estimation-of-parameters-and-quantiles-of-wakeby-distributions-1-known-GvZze0RHDW
SP - 1361
EP - 1372
VL - 15
IS - 6
DP - DeepDyve
ER -