DocumentCode :
811235
Title :
Tests for positive jumps in the intensity of a Poisson process: a power study
Author :
Engelhardt, Max ; Guffey, James M. ; Wright, F.T.
Author_Institution :
Dept. of Math. & Stat., Missouri Univ., Rolla, MO, USA
Volume :
39
Issue :
3
fYear :
1990
fDate :
8/1/1990 12:00:00 AM
Firstpage :
356
Lastpage :
360
Abstract :
Tests are considered for the hypothesis of a constant intensity against the alternative of an intensity which increases with time in a nonhomogeneous Poisson process. Attention is focused on step-function alternatives and tests designed for such alternatives. One application is testing for abrupt changes in equipment following scheduled overhauls. The authors recommend the order-restricted likelihood-ratio test over an ordered chi-square test for such situations, provided the points at which jumps can occur are known. Otherwise, they recommend the test based on the Laplace statistic. The performance of these tests is evaluated for smooth alternatives, with the result that the smallest relative power of the order-restricted likelihood-ratio test is 73%, while for the Laplace test it is 82%. A numerical example based on failure times for a main-propulsion diesel engine is presented. The result is that the order-restricted likelihood-ratio test corresponds to the lowest statistical significance level
Keywords :
failure analysis; reliability theory; statistical analysis; Laplace statistic; Poisson process intensity; failure times; main-propulsion diesel engine; nonhomogeneous Poisson process; order-restricted likelihood-ratio test; ordered chi-square test; positive jumps; reliability; smooth alternatives; step-function alternatives; Diesel engines; Light rail systems; Maximum likelihood detection; Maximum likelihood estimation; Sampling methods; Statistical analysis; Statistical distributions; Testing;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.103018
Filename :
103018
Link To Document :
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