Computation approaches for parameter estimation of Weibull distribution
type: Item
instance of: scholarly article
title: Computation approaches for parameter estimation of Weibull distribution
author: Yunn-Kuang Chu
author: Jau-Chuan Ke
published in: Mathematical \& Computational Applications
publication date: 2018-07-05T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 6898797
zbMATH Keywords: Weibull distribution
zbMATH Keywords: maximum likelihood method
zbMATH Keywords: least squares method
zbMATH Keywords: sample root mean square error
zbMATH Keywords: simulation
MaRDI profile type: Publication
full work available at URL: mca17010039
OpenAlex ID: W2296471175
DOI: 10.3390/MCA17010039
description: scientific article; zbMATH DE number 6898797