Journal of Statistical Theory and Applications

Volume 18, Issue 1, March 2019, Pages 26 - 32

Interval Estimation of the Overlapping Coefficient of Two Exponential Distributions

Authors
Sibil Jose1, *, Seemon Thomas2, Thomas Mathew3
1Department of Statistics, St. George’s College Aruvithura, Kottayam, Kerala, India.
2Department of Statistics, St. Thomas College Pala, Kottayam, Kerala, India.
3Department of Mathematics and Statistics, University of Maryland, Baltimore County, Maryland.
*Corresponding author. Email: sibiljose60@yahoo.com
Corresponding Author
Sibil Jose
Received 31 July 2017, Accepted 12 September 2018, Available Online 22 April 2019.
DOI
10.2991/jsta.d.190306.004How to use a DOI?
Keywords
Generalized pivotal quantity; one-parameter exponential distribution; two-parameter exponential distribution
Abstract

For the overlapping coefficient between two one-parameter or two-parameter exponential distributions, confidence intervals are developed using generalized pivotal quantities. The accuracy of the proposed solutions are assessed using estimated coverage probabilities, and are also compared with other approximate solutions. The results are illustrated with examples.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
18 - 1
Pages
26 - 32
Publication Date
2019/04/22
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.d.190306.004How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Sibil Jose
AU  - Seemon Thomas
AU  - Thomas Mathew
PY  - 2019
DA  - 2019/04/22
TI  - Interval Estimation of the Overlapping Coefficient of Two Exponential Distributions
JO  - Journal of Statistical Theory and Applications
SP  - 26
EP  - 32
VL  - 18
IS  - 1
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.d.190306.004
DO  - 10.2991/jsta.d.190306.004
ID  - Jose2019
ER  -