A Note on the Maximum Likelihood Estimators for the Mixture of Maxwell Distributions Using Type-I Censored Scheme
Syed Mohsin Ali Kazmia, *, Muhammad Aslamb, Sajid Alib
Identifiers and Pagination:Year: 2011
First Page: 31
Last Page: 35
Publisher Id: TOSPJ-3-31
Article History:Received Date: 2/9/2011
Revision Received Date: 12/10/2011
Acceptance Date: 18/10/2011
Electronic publication date: 23/12/2011
Collection year: 2011
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This article focuses on the study of mixture density under Type I censoring scheme by taking Maxwell distribution as a life time model. In this paper we sculpt a heterogeneous population by means of two components mixture of the Maxwell distribution. We derive the maximum likelihood estimators using type-I censored data and also their variances matrix. The problem with ML estimators is discussed. The Maple 13.0 code is also presented in appendix.