Article ID Journal Published Year Pages File Type
9459693 Atmospheric Research 2005 18 Pages PDF
Abstract
It is shown that: (a) unaccounted measurement error may potentially cause a considerable degree of misspecification about the conventional moment and L-moment coefficients of variation, and the conventional moments of skewness and kurtosis; (b) the presence of measurement variability alone can cause significant and nonlinear quantile bias which further strongly increases with the additional presence of measurement bias; and (c) maximum likelihood estimation provides a general and efficient tool for assessing measurement error in extreme rainfall frequency analysis.
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Atmospheric Science
Authors
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