Volume 17, Issue 1, March 2018, Pages 136 - 145
Estimating Quantiles of Two Exponential Populations with a Common Location Parameter Using Censored Samples
Authors
Adarsha Kumar Jenajadarsha@gmail.com
Department of Mathematics, National Institute of Technology Rourkela, Rourkela, Odisha-769008, India
Manas Ranjan Tripathy*, manas@nitrkl.ac.in
Department of Mathematics, National Institute of Technology Rourkela, Rourkela, Odisha-769008, India
*Corresponding Author
Corresponding Author
Manas Ranjan Tripathymanas@nitrkl.ac.in
Received 12 April 2016, Accepted 9 March 2017, Available Online 31 March 2018.
- DOI
- 10.2991/jsta.2018.17.1.10How to use a DOI?
- Keywords
- Brewster-Zidek technique; Equivariant estimators; Inadmissibility; Quadratic loss function; Quantile estimation; Relative risk performances; Type-II censoring
- Abstract
Estimation of quantiles of two exponential populations is considered assuming equality of location parameters using censored samples from a decision theoretic point of view. Sufficient conditions for inadmissibility of estimators in certain classes have been derived. Consequently some complete class results as well as estimators dominating the MLE and the UMVUE are obtained. Finally all the proposed estimators have been numerically compared and recommended for use.
- Copyright
- Copyright © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Adarsha Kumar Jena AU - Manas Ranjan Tripathy PY - 2018 DA - 2018/03/31 TI - Estimating Quantiles of Two Exponential Populations with a Common Location Parameter Using Censored Samples JO - Journal of Statistical Theory and Applications SP - 136 EP - 145 VL - 17 IS - 1 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2018.17.1.10 DO - 10.2991/jsta.2018.17.1.10 ID - Jena2018 ER -