Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

A Study on Imputing Censored Observations for Exponential Distribution Based on Random Censoring

Authors
Kuo-Ching Chiou1
1Chaoyang University of Technology
Corresponding Author
Kuo-Ching Chiou
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.119How to use a DOI?
Keywords
Censoring time, Imputation value, exponential distribution
Abstract

Censoring models are frequently employed in reliability analysis to reduce experimental time. There are three censoring model: type-I, type-II and random censoring. In this study, we focus on the right-random censoring model. In the previous literature, an imputation of the censored observation is considered as the censoring time (Miller (1981), Lawless (1982), Lee (1992) and among others). Clearly, the censored observation is imputed by the censoring time to underestimate the original failure time. In this paper, we consider the failure time to follow an exponential distribution, and alternatively we attempt to propose three measures to impute the censored observations. By Monte Carlo simulation, the goodness of fit test is employed to compare the four methods of imputing censored observations. It is found that the method of imputing censored data by censoring time little outperforms the other three imputing methods.

Copyright
© 2006, 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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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
10.2991/jcis.2006.119
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.119How to use a DOI?
Copyright
© 2006, 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  - CONF
AU  - Kuo-Ching Chiou
PY  - 2006/10
DA  - 2006/10
TI  - A Study on Imputing Censored Observations for Exponential Distribution Based on Random Censoring
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.119
DO  - https://doi.org/10.2991/jcis.2006.119
ID  - Chiou2006/10
ER  -