Volume 17, Issue 2, June 2018, Pages 261 - 270
On Inference about Tilt Parameter in Marshall-Olkin Family of Distributions
Authors
Mostafa Tamanditamandi@vru.ac.ir
Department of Statistics, Faculty of Mathematical Sciences, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran.
Received 14 December 2016, Accepted 15 September 2017, Available Online 30 June 2018.
- DOI
- 10.2991/jsta.2018.17.2.6How to use a DOI?
- Keywords
- Tilt parameter; Marshall-Olkin distribution; Maximum likelihood estimation; Maximum spacing estimation; Least-squares estimation; coverage probability; score test; Insulating fluid data
- Abstract
Marshall and Olkin [
] introduced a method for constructing a new distribution by adding a new parameter, called tilt parameter, to a parent distribution. It is observed that adding this parameter leads to a more flexible model than the parent model. In this paper, different estimators for tilt parameter as a major parameter are presented. Their performances are compared using Monte Carlo simulations. Hypothesis testing and interval estimation of tilt parameter using Rao score test is discussed.1997 84 641 652 - 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 - Mostafa Tamandi PY - 2018 DA - 2018/06/30 TI - On Inference about Tilt Parameter in Marshall-Olkin Family of Distributions JO - Journal of Statistical Theory and Applications SP - 261 EP - 270 VL - 17 IS - 2 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2018.17.2.6 DO - 10.2991/jsta.2018.17.2.6 ID - Tamandi2018 ER -