On Inference about Tilt Parameter in Marshall-Olkin Family of Distributions
In: Journal of Statistical Theory and Applications (JSTA), Jg. 17 (2018-06-01), Heft 2
Online
academicJournal
Zugriff:
Marshall and Olkin [Biometrika199784641652] 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.
Titel: |
On Inference about Tilt Parameter in Marshall-Olkin Family of Distributions
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Autor/in / Beteiligte Person: | Tamandi, Mostafa |
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Zeitschrift: | Journal of Statistical Theory and Applications (JSTA), Jg. 17 (2018-06-01), Heft 2 |
Veröffentlichung: | Springer, 2018 |
Medientyp: | academicJournal |
ISSN: | 1538-7887 (print) |
DOI: | 10.2991/jsta.2018.17.2.6 |
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