Reliability and Survival Methods • Fit Parametric Survival • Nonlinear Parametric Survival Models

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Nonlinear Parametric Survival Models
Use the Nonlinear platform for survival models in the following instances:
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The model is nonlinear.
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You need a distribution other than Weibull, lognormal, exponential, Fréchet, or loglogistic.
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You have censoring that is not the usual right, left, or interval censoring.
With the ability to estimate parameters in specified loss functions, the Nonlinear platform becomes a powerful tool for fitting maximum likelihood models. For complete information about the Nonlinear platform, see Nonlinear Regression in the Predictive and Specialized Modeling book.
To fit a nonlinear model when data are censored, you must first use the formula editor to create a parametric equation that represents a loss function adjusted for censored observations. Then use the Nonlinear platform to estimate the parameters using maximum likelihood.

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Help created on 3/19/2020