DocumentCode
1020241
Title
On the exponential formula for reliability
Author
Finkelstein, Maxim S.
Author_Institution
Dept. of Math. Stat., Univ. of the Free State, Bloemfontein, South Africa
Volume
53
Issue
2
fYear
2004
fDate
6/1/2004 12:00:00 AM
Firstpage
265
Lastpage
268
Abstract
It is usually assumed that the exponential formula commonly used in reliability & survival analysis holds for the case of conditioning on "smooth" external covariates, and is not valid for the case of internal covariates. Using an example of external shocks affecting an item, it is shown that, though formally the influence is not smooth in this case, the corresponding exponential formula still holds. On the other hand, internal covariates do not necessarily lead to the not-absolutely-continuous conditional Cdf. If the internal covariate process specifies the full information on the item\´s failure process, then the corresponding conditional Cdf is not absolutely continuous. If the observed internal covariate does not provide complete information on the item\´s state, then the corresponding conditional Cdf can be still absolutely continuous, and the exponential formula holds.
Keywords
exponential distribution; failure analysis; reliability theory; covariate process; distribution mixture; exponential formula; external shock; failure process; item state information; observed failure rate; reliability analysis; survival analysis; Acceleration; Africa; Distribution functions; Electric shock; Hazards; Random variables; Statistical distributions; Stochastic processes; Stress; Temperature; External covariates; internal covariates; mixture of distributions; observed failure rate; shock process;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2004.829164
Filename
1308672
Link To Document