Statistical Inference for the Parameter of Pareto Distribution Based on Progressively Type-I Interval Censored Sample
Year: 2014
Author: Zhiwen Zhao, Dehui Wang
Communications in Mathematical Research , Vol. 30 (2014), Iss. 4 : pp. 345–357
Abstract
In this paper, the estimation of parameters based on a progressively type-I interval censored sample from a Pareto distribution is studied. Different methods of estimation are discussed, which include mid-point approximation estimator, the maximum likelihood estimator and moment estimator. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.13447/j.1674-5647.2014.04.08
Communications in Mathematical Research , Vol. 30 (2014), Iss. 4 : pp. 345–357
Published online: 2014-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 13
Keywords: EM-algorithm maximum likelihood estimation method of moment Bayes estimation.