| Home  | About ScienceAsia  | Publication charge  | Advertise with us  | Subscription for printed version  | Contact us  
Editorial Board
Journal Policy
Instructions for Authors
Online submission
Author Login
Reviewer Login
Volume 49 Number 6
Volume 49 Number 5
Volume 49S Number 1
Volume 49 Number 4
Volume 49 Number 3
Volume 49 Number 2
Earlier issues
Volume  Number 

previous article next article

Research articles

ScienceAsia 39S (2013): 75-79 |doi: 10.2306/scienceasia1513-1874.2013.39S.075

Generalized Bayesian non-informative prior estimation of Weibull parameter with interval censoring

Chris Bambey Guurea,b,*, Noor Akma Ibrahimb,c

ABSTRACT:     Interval-censored data consist of adjacent inspection times that surround an unknown failure time. We seek to determine the best estimator for the Weibull scale parameter using interval-censored survival data. Consideration is given to the classical maximum likelihood and Bayesian estimation under squared error loss with interval censoring using non-informative prior and a proposed generalization of non-informative prior. The study is based on simulation and comparisons are made using mean squared error and absolute bias. We find that the proposed generalized non-informative prior is the preferred estimator of the scale parameter.

Download PDF

6 Downloads 1371 Views

a Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana
b Institute for Mathematical Research, Universiti Putra Malaysia, 43400 Selangor, Malaysia
c Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, 43400 Selangor, Malaysia

* Corresponding author, E-mail: chris@chrisguure.com

Received 7 Jan 2013, Accepted 5 Apr 2013