Estimating the Parameters of Degradation Models when Error Terms are Autocorrelated
The need of autocorrelation models for degradation data comes from the facts that the degradation measurements are often correlated, since such measurements are taken over time. Time series can exhibit autocorrelation caused by modeling error or cyclic changes in ambient conditions in the measuremen...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2016-02-01
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Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/210 |