Journal of Statistical Theory and Applications

Volume 16, Issue 3, September 2017, Pages 354 - 365

Slashed Moment Exponential Distribution

Authors
Yuri A. Iriarte, Juan M. Astorga, Osvaldo Venegas, Héctor W. Gómez
Corresponding Author
Yuri A. Iriarte
Received 18 May 2016, Accepted 28 September 2016, Available Online 1 September 2017.
DOI
10.2991/jsta.2017.16.3.7How to use a DOI?
Keywords
Exponentiated moment exponential distribution; kurtosis; moment exponential distribution; slashed moment exponential distribution.
Abstract

The problem of estimating the ratio of coefficients of variation of two independent lognormal populations is considered. We propose two closed-form approximate confidence intervals (CIs), one is based on the method of variance estimate recovery (MOVER), and another is based on the fiducial approach. The proposed CIs are compared with another CI available in the literature. Our new confidence intervals are very satisfactory in terms of coverage properties even for small samples, and better than other CIs for small to moderate samples. The methods are illustrated using an example.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
16 - 3
Pages
354 - 365
Publication Date
2017/09/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2017.16.3.7How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yuri A. Iriarte
AU  - Juan M. Astorga
AU  - Osvaldo Venegas
AU  - Héctor W. Gómez
PY  - 2017
DA  - 2017/09/01
TI  - Slashed Moment Exponential Distribution
JO  - Journal of Statistical Theory and Applications
SP  - 354
EP  - 365
VL  - 16
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.3.7
DO  - 10.2991/jsta.2017.16.3.7
ID  - Iriarte2017
ER  -