Maximum product spacings method for the estimation of parameters of generalized inverted exponential distribution under Progressive Type II Censoring. Issue 2 (3rd March 2016)
- Record Type:
- Journal Article
- Title:
- Maximum product spacings method for the estimation of parameters of generalized inverted exponential distribution under Progressive Type II Censoring. Issue 2 (3rd March 2016)
- Main Title:
- Maximum product spacings method for the estimation of parameters of generalized inverted exponential distribution under Progressive Type II Censoring
- Authors:
- Kumar Singh, Rajwant
Kumar Singh, Sanjay
Singh, Umesh - Abstract:
- Abstract: In this paper, we have discussed the problem of point estimation of the shape and scale parameters of Generalized Inverted Exponential Distribution (GIED) based on progressive type-II censored samples. The Method of product of spacings is used to estimate the parameters of the model along with reliability and hazard functions. The proposed estimators have been compared with the corresponding maximum likelihood estimators on the basis of Monte Carlo Simulation study. Finally, a real data set has been considered to illustrate the practical utility of the paper.
- Is Part Of:
- Journal of statistics & management systems. Volume 19:Issue 2(2016)
- Journal:
- Journal of statistics & management systems
- Issue:
- Volume 19:Issue 2(2016)
- Issue Display:
- Volume 19, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 19
- Issue:
- 2
- Issue Sort Value:
- 2016-0019-0002-0000
- Page Start:
- 219
- Page End:
- 245
- Publication Date:
- 2016-03-03
- Subjects:
- GIED -- MPS -- MLE -- Reliability estimation -- Progressive censoring
Statistics -- Periodicals
Mathematical models -- Periodicals
Mathematical models
Statistics
Periodicals
519.5 - Journal URLs:
- http://www.tandfonline.com/loi/tsms20 ↗
- DOI:
- 10.1080/09720510.2015.1023553 ↗
- Languages:
- English
- ISSNs:
- 0972-0510
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11163.xml