Abstract
In this chapter, we study the cases in which each trial could result in more than two outcomes, leading to multistate start-up demonstration tests. The models included in this family specifically assume that the outcome from each trial is a discrete random variable with more than two possible values; theses values correspond to different types of successes and failures. The acceptance and rejection criteria are quite similar to those used in the family of binary models; they are based on the appearance of a consecutive/total number of successes/failures of a specific type.
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