Survival function; function for consumers

The survival function, also known as a survivor function or reliability function, is a property of any random variable that maps a set of events, usually associated with mortality or failure of some system, onto time. It captures the probability that the system will survive beyond a specified time. The term reliability function is common in engineering while the term survival function is used in a broader range of applications, including human mortality.


Definition

Let X be a continuous random variable with cumulative distribution function F(t) on the interval [0,∞). Its survival-, or reliability-function is:

<math>R(t) = P(\{T > t\}) = \int_t^{\infty} f(u)\,du = 1-F(t).</math>


Properties

Every survival function R(t) is monotone decreasing, i.e. <math>R(u) < R(t)</math> for <math>u > t</math>

The time, t = 0, represents some origin, typically the beginning of a study or the start of operation of some system. R(0) is commonly unity but can be less to represent the probability that the system fails immediately upon operation.


See also

  • Survival analysis
  • Failure rate
  • Cumulative hazard function
  • Mean time to failure
  • Mean residual life

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