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Statistical risk refers to the potential for loss or negative outcomes associated with uncertain events and is often quantified using statistical methods. It is a measure of the likelihood and impact of adverse events occurring within a given context, such as finance, insurance, health, or decision-making processes. In practical terms, statistical risk can be defined in several ways, including: 1. **Probability of Adverse Events**: It often involves calculating the probability of specific negative outcomes.

Stress wave communication refers to a method of transmitting information using mechanical stress waves as the medium. This concept can be applied in various contexts, including engineering, telecommunications, and even biological systems. In its more common applications, stress wave communication leverages vibrations or acoustic waves generated by mechanical stress in materials. Information can be encoded into these waves through variations in frequency, amplitude, or phase, similar to how other communication systems might modulate electromagnetic signals.

The **survival function**, often denoted as \( S(t) \), is a fundamental concept in survival analysis and statistics, particularly in the context of time-to-event data. It describes the probability that a subject or an individual survives beyond a certain time \( t \).