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Evaluation Of Methods To Predict Weibull Parameters For Characterizing Diameter Distributions, Krishna Prasad Poudel
Evaluation Of Methods To Predict Weibull Parameters For Characterizing Diameter Distributions, Krishna Prasad Poudel
LSU Master's Theses
Compared to other distribution functions, the Weibull distribution has been more widely used in describing diameter distributions because of its flexibility and relative simplicity. Parameters of the Weibull distribution are generally predicted either by the parameter prediction method or by the parameter recovery method. The coefficients of the regression equations for predicting Weibull parameters, moments, or percentiles are often estimated by use of different approaches such as ordinary least squares (OLS), seemingly unrelated regression (SUR) or cumulative distribution function regression (CDFR). However, there is no strong rationale for preferring one method over the other. We developed and evaluated different methods …