Publication date: 11/10/2021

The Accelerated Life Test Plan red triangle menu contains the following options:

Simulate Responses

Adds simulated responses to the table when you click Make Table. The simulated responses are created by taking random draws from the chosen distribution at the parameter values specified in the Prior Mean outline. If a simulated response exceeds the specified test length, the observation is censored at the test length value.

ALT Optimality Criterion

Make D-Optimal Design

Creates a Bayesian D-optimal design if the number of Monte Carlo spheres is greater than 0. The optimality criterion is the expectation of the logarithm of the determinant of the information matrix with respect to the prior distribution. If the number of Monte Carlo spheres is 0, then the design is a locally D-optimal design. It follows that D-optimality focuses on precise estimates of the coefficients.

Make Quantile Estimate Optimal

Default optimality criteria. Creates a design that minimizes the variance of a specified percentile at the specified usage conditions.

Make Failure Probability Optimal

Creates a design that minimizes the variance of the estimate of failure probability over the time range of interest at the specified usage conditions.

Advanced Options

N Monte Carlo Spheres

Enables you to set the number of nonzero radius values used in the integration. To find a nonlinear design that optimizes a given optimality criterion, JMP minimizes the integral of the log of the determinant of the Fisher information matrix with respect to the prior distribution of the parameters. Such an integral is calculated numerically. For more information about how the integration is performed, see Nonlinear Design Options.

Tip: By default N Monte Carlo Spheres is set to four. Higher values result in better numerical accuracy but with more computation time.

Save Script to Script Window

Creates the script for the design that you specified in the Accelerated Life Test Plan window and places it in an open script window.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).