DocumentCode :
1351281
Title :
On Estimation Of Mean Life In The Presence Of An Outlier
Author :
Singh, Ashok ; Singh, Anita
Author_Institution :
Department of Mathematics; New Mexico Institute of Mining and Technology; Socorro, NM 87801 USA.
Issue :
5
fYear :
1983
Firstpage :
485
Lastpage :
487
Abstract :
Life estimation based on an ordered sample from the exponential distribution is considered in the following situations: 1. The first failure occurs at a very early stage of the experiment and is suspected to be an ``early failure´´. 2. The last failure is suspected to come from a population with a higher mean than the rest of the sample. Three estimates of mean life are investigated: sample mean, trimmed mean, and a Winsorized mean. For small samples and in the presence of an early failure, the sample mean is biased but has smaller mean square error than the other two estimates. However, when the last observation has a higher mean than the rest of sample, the sample mean loses its superiority.
Keywords :
Exponential distribution; Hazards; Life estimation; Life testing; Mean square error methods; Protection; Reliability theory; Robustness; Early failure; Late failure; Mean square error; Robustness; Simulation; Trimmed mean; Winsorized mean; s-Bias;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.1983.5221737
Filename :
5221737
Link To Document :
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