Abstract
In both reliability and survival analyses, regression models are employed extensively for identifying factors associated with probability, hazard, risk, or survival of units being studied. This chapter introduces some of the regression models used in both reliability and survival analyses. The regression models include logistic regression, proportional hazards, accelerated failure time, and parametric regression models based on specific probability distributions.
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Notes
- 1.
Here R(t(i)) denotes the risk set, not the reliability function. The reliability function in this section is denoted by S(t(i)).
- 2.
The information regarding the names of the component and manufacturing company are not disclosed to protect the proprietary nature of the information.
- 3.
This may also be done with S-plus and R-language.
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Karim, M.R., Islam, M.A. (2019). Regression Models. In: Reliability and Survival Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-13-9776-9_7
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DOI: https://doi.org/10.1007/978-981-13-9776-9_7
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