Title of article :
COMPUTATION APPROACHES FOR PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION
Author/Authors :
Chu, Yunn-Kuang National Taichung Institute of Technology - Department of Applied Statistics, Taiwan , Ke, Jau-Chuan National Taichung Institute of Technology - Department of Applied Statistics, Taiwan
Abstract :
This paper examines the estimation comparison of two methods for Weibull parameters, one is the maximum likelihood method and the other is the least squares method. A numerical simulation study is carried out to understand performance of the two methods. Based on sample root mean square errors, we make a comparison between the two computation approaches. We find that the least squares method significantly outperforms the maximum likelihood when the sample size is small.
Keywords :
Weibull distribution , Maximum likelihood method , Least squares method , Sample root mean square error , Simulation
Journal title :
mathematical and computational applications
Journal title :
mathematical and computational applications
