Learn how to model time-to-event data common in survival and reliability analysis applications including data that is censored (incomplete). Fit various probability distributions to determine the one that best models the data and use the resulting model to predict failure/survival probabilities, times, and other important characteristics. Learn how to build a model with a factor designed to accelerate failure in order to improve predictions of future failures.