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Estimation in Maxwell distribution with randomly censored data.
- Source :
- Journal of Statistical Computation & Simulation; Nov2015, Vol. 85 Issue 17, p3560-3578, 19p
- Publication Year :
- 2015
-
Abstract
- In many practical situations, complete data are not available in lifetime studies. Many of the available observations are right censored giving survival information up to a noted time and not the exact failure times. This constitutes randomly censored data. In this paper, we consider Maxwell distribution as a survival time model. The censoring time is also assumed to follow a Maxwell distribution with a different parameter. Maximum likelihood estimators and confidence intervals for the parameters are derived with randomly censored data. Bayes estimators are also developed with inverted gamma priors and generalized entropy loss function. A Monte Carlo simulation study is performed to compare the developed estimation procedures. A real data example is given at the end of the study. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00949655
- Volume :
- 85
- Issue :
- 17
- Database :
- Complementary Index
- Journal :
- Journal of Statistical Computation & Simulation
- Publication Type :
- Academic Journal
- Accession number :
- 109420905
- Full Text :
- https://doi.org/10.1080/00949655.2014.986483