Survival analysis

probability distribution

probability distribution

predicted elapsed time between inherent failures of a system during operation

consistency of a measure in psychometrics and statistics, that is if it produces similar results under consistent conditions

continuous probability distribution

sub-discipline of systems engineering that emphasizes dependability in the lifecycle management of a product or a system

branch of statistics for analyzing the expected duration of time until one or more significant events happen, such as death in biological organisms and failure in mechanical systems

table which shows probability of death

frequency with which an engineered system or component fails

complementary cumulative distribution function of a random variable modelling time to an event

theory about life expectancy of certain technologies or ideas

non-parametric statistic used to estimate the survival function

class of statistical survival models

in statistics, engineering, medical research, and other technical disciplines, condition in which the value of a measurement or observation is only partially known

ratio of the hazard rates corresponding to the conditions described by two levels of an explanatory variable

Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. This lack of performance is most often a failure beyond which the system can no longer be used to meet desired performance. The predicted time then becomes the remaining useful life (RUL), which is an important concept in decision making for contingency mitigation. Prognostics predicts the future performance of a component by assessing the extent of deviation or degradation of a system from its expected normal operating conditions. The science o

hypothesis test to compare the survival distributions of two samples

continuous probability distribution, named after Benjamin Gompertz