Censored life-data analysis using linguistic variables

Censored life-data analysis using linguistic variables

Parameter estimates for censored life data using ordinary censoring methods (noninformative censoring) can be biased when the cause of censoring for a unit is related to its final life (informative censoring). An algorithm is presented for obtaining estimated lifetimes for informatively censored uni...

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Bibliographic Details
Published in:IEEE transactions on reliability Vol. 37; no. 1; pp. 111 - 116
Main Authors: Wang, J.-H., Liittschwager, J.M., Raz, T.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-04-1988
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Cities and towns
Estimation theory
Exact sciences and technology
Fuzzy set theory
Inspection
Life estimation
Operational research and scientific management
Operational research. Management science
Parameter estimation
Reliability theory
Reliability theory. Replacement problems
State estimation
Lifetime
Parameter estimation
Statistical estimation
Fuzzy set
Reliability
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Description
Summary:Parameter estimates for censored life data using ordinary censoring methods (noninformative censoring) can be biased when the cause of censoring for a unit is related to its final life (informative censoring). An algorithm is presented for obtaining estimated lifetimes for informatively censored units. It is based on linguistic variable concepts from fuzzy set theory. These estimates are combined with the lifetimes for actual field units to form a complete sample for parameter estimation purposes.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9529
1558-1721
DOI:10.1109/24.3727