The development of multilevel accelerated life stress tests, hereafter ALT, has been hindered by the difficulty of performing adequate and satisfactory data analysis when only 3 or 4 levels of stress exist [1]. When seven levels of a single stress exist, this becomes a challenge to analyze. This paper shows one simple approach that is based upon software that is now available. The use of software makes the analysis easier, but often sets limits on the reliability models that the analyst may employ. Suspended and interval data, when collected from multiple-stress life tests, can now be analyzed with the Maximum Likelihood Estimator to achieve best-fit solutions. The improved data analysis solutions that the software affords also permit wide latitude in selecting test stresses, combinations of stresses and other test conditions.
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