Journal article
A consistent method of estimation for the three-parameter Weibull distribution
Abstract
In this paper, we propose a new method for the estimation of parameters of the three-parameter Weibull distribution. The method is based on a data transformation, which avoids the problem of unbounded likelihood. In the proposed method, under mild conditions, the estimates always exist uniquely in the entire parameter space, and the estimators also have consistency over the entire parameter space. Through Monte Carlo simulations, we further …
Authors
Nagatsuka H; Kamakura T; Balakrishnan N
Journal
Computational Statistics & Data Analysis, Vol. 58, , pp. 210–226
Publisher
Elsevier
Publication Date
2 2013
DOI
10.1016/j.csda.2012.09.005
ISSN
0167-9473