Abstract
In life testing, n identical testing items are placed on test. Instead of doing a complete life testing with all n outcomes, a Type II censored life testing, consisting of the first m outcomes, is usually employed. Although statistical analysis for the life testing based on censored data is less efficient than the complete life testing, the expected length of the censored life testing is less than that of the complete life testing. In this paper, we compare censored and complete life testing and suggest ways to improve time saving and efficiency. Instead of doing a complete life testing with all n outcomes, we put N > n items on test, which continues until we observe the nth outcome. With both the censored life testing and the complete life testing containing the same number of observations, we show that the expected length of the censored life testing is less than that of the complete life testing and that the censored life testing may be also more efficient than the complete life testing with the same number of observations.
| Original language | English |
|---|---|
| Pages (from-to) | 103-117 |
| Number of pages | 15 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 127 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 2005 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics
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Another look at life testing. / Zheng, Gang; Park, Sangun.
In: Journal of Statistical Planning and Inference, Vol. 127, No. 1-2, 01.01.2005, p. 103-117.Research output: Contribution to journal › Article
TY - JOUR
T1 - Another look at life testing
AU - Zheng, Gang
AU - Park, Sangun
PY - 2005/1/1
Y1 - 2005/1/1
N2 - In life testing, n identical testing items are placed on test. Instead of doing a complete life testing with all n outcomes, a Type II censored life testing, consisting of the first m outcomes, is usually employed. Although statistical analysis for the life testing based on censored data is less efficient than the complete life testing, the expected length of the censored life testing is less than that of the complete life testing. In this paper, we compare censored and complete life testing and suggest ways to improve time saving and efficiency. Instead of doing a complete life testing with all n outcomes, we put N > n items on test, which continues until we observe the nth outcome. With both the censored life testing and the complete life testing containing the same number of observations, we show that the expected length of the censored life testing is less than that of the complete life testing and that the censored life testing may be also more efficient than the complete life testing with the same number of observations.
AB - In life testing, n identical testing items are placed on test. Instead of doing a complete life testing with all n outcomes, a Type II censored life testing, consisting of the first m outcomes, is usually employed. Although statistical analysis for the life testing based on censored data is less efficient than the complete life testing, the expected length of the censored life testing is less than that of the complete life testing. In this paper, we compare censored and complete life testing and suggest ways to improve time saving and efficiency. Instead of doing a complete life testing with all n outcomes, we put N > n items on test, which continues until we observe the nth outcome. With both the censored life testing and the complete life testing containing the same number of observations, we show that the expected length of the censored life testing is less than that of the complete life testing and that the censored life testing may be also more efficient than the complete life testing with the same number of observations.
UR - http://www.scopus.com/inward/record.url?scp=5444239170&partnerID=8YFLogxK
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U2 - 10.1016/j.jspi.2003.08.007
DO - 10.1016/j.jspi.2003.08.007
M3 - Article
AN - SCOPUS:5444239170
VL - 127
SP - 103
EP - 117
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
SN - 0378-3758
IS - 1-2
ER -