A Note on a Comparison of Methods for the Estimation of Weibull Distribution Parameters of Nwobi and Ugomma
Abstract
Felix Noyanim Nwobi and Chukwudi Anderson Ugomma published an article in 2014 titled "A Comparison of Methods for the Estimation of Weibull Distribution Parameters" (Nwobi and Ugomma [1]). The paper compared the performance of the following methods of model parameter estimation: graphical method (mean rank, median rank and symmetric cumulative distribution function cdf) and the analytical method (maximum likelihood estimate (mle), method of moments, and least squares estimate (lse) methods) in estimating the parameters of the two parameter Weibull distribution. Subsequently, we shall refer either
the authors or the paper as NU. NU assessed the performance of the various estimation methods by comparing their mean square errors mse and using the Kolmogorov-Smirnov (ks) test. We have noted and outlined several analytical inconsistencies and other mistakes in various sections of the paper by NU and corrections have been given.
Downloads
References
Nwobi FN, Ugomma CA. A Comparison of Methods for the Estimation of Weibull Distribution Parameters. Metodolo²ki Zvezki. 2014 Jan 1;11(1):65-78.
Copyright (c) 2017 Journal of Progressive Research in Mathematics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.