TY - JOUR
T1 - To survive or to fail
T2 - That is the question
AU - Abel, Patricia S.
AU - Singpurwalla, Nozer D.
PY - 1994/2
Y1 - 1994/2
N2 - A question that naturally arises in life testing is the following: “During the conduct of the test, what would you rather observe, a failure or a survival?” Most people answer this question by saying failure, because intuitively, failures are presumed to provide more information about the parameters of a failure model than survivals. The aim of this article is to point out that such intuition could be misleading and that the answer depends on the particular parameterization that is chosen. The argument is made through the use of Shannon’s measure of information in an experiment, with the exponential as an example. © 1994 Taylor & Francis Group, LLC.
AB - A question that naturally arises in life testing is the following: “During the conduct of the test, what would you rather observe, a failure or a survival?” Most people answer this question by saying failure, because intuitively, failures are presumed to provide more information about the parameters of a failure model than survivals. The aim of this article is to point out that such intuition could be misleading and that the answer depends on the particular parameterization that is chosen. The argument is made through the use of Shannon’s measure of information in an experiment, with the exponential as an example. © 1994 Taylor & Francis Group, LLC.
KW - Accelerated testing
KW - Censoring
KW - Entropy
KW - Exponential distribution
KW - Fisher information
KW - Life testing
KW - Parameterization
KW - Shannon information
KW - Uncertainty
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U2 - 10.1080/00031305.1994.10476012
DO - 10.1080/00031305.1994.10476012
M3 - RGC 21 - Publication in refereed journal
SN - 0003-1305
VL - 48
SP - 18
EP - 21
JO - American Statistician
JF - American Statistician
IS - 1
ER -