Paper Info
Title
Optimal interval estimation for a family of lower truncated distribution under progressive censoring
Abstract
In this paper, based on progressively Type-II censored sample, different types of interval estimates of a general lower truncated distribution are constructed. Exact confidence intervals and joint exact confidence regions are derived for unknown model parameter and the lower truncated threshold bound. Optimal criteria are also provided for choosing the best confidence interval and confidence region among obtained estimates. Two real-life examples and a numerical study are presented to illustrate the performance of our results.
Year
DOI
Venue
2015
10.1016/j.cam.2015.03.023
Journal of Computational and Applied Mathematics
Keywords
DocType
Volume
confidence interval
Journal
287
Issue
ISSN
Citations 
C
0377-0427
2
PageRank 
References 
Authors
0.43
3
1
Name
Order
Citations
PageRank
Liang Wang11567158.46