• an accelerated failure time model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas...
    11 KB (1,425 words) - 22:21, 23 March 2024
  • for failure. Other types of survival models such as accelerated failure time models do not exhibit proportional hazards. The accelerated failure time model...
    33 KB (5,177 words) - 18:34, 9 January 2024
  • on the time-scale, the model is called accelerated failure time model. The Hypertabastic survival function for the accelerated failure time model is given...
    36 KB (5,645 words) - 16:46, 1 February 2024
  • (engineering) Highly Accelerated Life Test Accelerated aging AFT model Cox model Fatigue testing Fault injection Nelson, W. (1980). "Accelerated Life Testing...
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  • Trust American Federation of Teachers American Folklore Theatre Accelerated failure time model, in survival statistics Amniotic fluid test, in medicine Applied...
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  • Time-to-violent death of Roman emperors Intertrade waiting times of electronically traded shares on a stock exchange Accelerated failure time model Bayesian...
    47 KB (6,711 words) - 04:59, 25 March 2024
  • deviation Absolute risk reduction Absorbing Markov chain ABX test Accelerated failure time model Acceptable quality limit Acceptance sampling Accidental sampling...
    87 KB (8,293 words) - 21:10, 26 March 2024
  • the field—but in much less time. The main objective of an accelerated test is either of the following: To discover failure modes To predict the normal...
    96 KB (13,241 words) - 16:43, 21 March 2024
  • Thumbnail for Log-logistic distribution
    The log-logistic distribution can be used as the basis of an accelerated failure time model by allowing α{\displaystyle \alpha } to differ between groups...
    18 KB (2,014 words) - 11:49, 16 June 2023
  • Failure rate is the frequency with which an engineered system or component fails, expressed in failures per unit of time. It is usually denoted by the...
    23 KB (3,086 words) - 18:38, 9 January 2024