Back to Search
Start Over
Parameter estimation of inverse Lindley distribution for Type-I censored data
- Source :
- Computational Statistics. 32:367-385
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- In life testing experiments, Type-I censoring scheme has been widely used due to its simplicity and poise with considerable gain in the completion time of an experiment. This article deals with the parameter estimation of inverse Lindley distribution when the data is Type-I censored. Estimates have been obtained under both the classical and Bayesian paradigm. In the classical scenario, estimates based on maximum likelihood and maximum product of spacings coupled with their 95% asymptotic confidence interval have been obtained. Under the Bayesian set up, the point estimate is obtained by considering squared error loss function using Markov Chain Monte Carlo technique and highest posterior density intervals based on these samples are reckoned. The performance of above mentioned techniques are evaluated on the basis of their simulated risks. Further, a real data set is analysed for appraisal of aforementioned estimation techniques under the specified censoring scheme.
- Subjects :
- Statistics and Probability
Mean squared error
Estimation theory
05 social sciences
Bayesian probability
Inverse
Markov chain Monte Carlo
01 natural sciences
Censoring (statistics)
Confidence interval
Statistics::Computation
010104 statistics & probability
Computational Mathematics
symbols.namesake
0502 economics and business
Statistics
symbols
Statistics::Methodology
Point estimation
0101 mathematics
Statistics, Probability and Uncertainty
050205 econometrics
Mathematics
Subjects
Details
- ISSN :
- 16139658 and 09434062
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Computational Statistics
- Accession number :
- edsair.doi...........68c9b1ce521c980ec1be65958339d22a