First-hitting-time model

The First-Hitting-Time Model is a concept used in various fields, including probability theory, stochastic processes, and queuing theory, to describe the time taken for a stochastic process to reach a specified state for the first time. This model is particularly useful in analyzing systems where events occur randomly over time. ### Key Concepts: 1. **Stochastic Processes**: A stochastic process is a collection of random variables representing a process that evolves over time.