Alternating renewal processes are a type of stochastic process that involve two alternating states, typically referred to as 'active' and 'inactive'. These processes are characterized by intervals of activity followed by periods of inactivity, where the lengths of these intervals can vary randomly. Understanding alternating renewal processes helps in modeling systems that experience cycles of activity and rest, allowing for deeper insights into their behavior and performance over time.
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