Survival Analysis: Reliability Theory, Reliability Engineering, Random Variable, Actuarial Science, Expected Value, Renewal Theory, Reliability Theory of Aging and Longevity, Likelihood Function -
Survival Analysis: Reliability Theory, Reliability Engineering, Random Variable, Actuarial Science, Expected Value, Renewal Theory, Reliability Theory of Aging and Longevity, Likelihood Function
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Survival analysis is a branch of statistics which deals with death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or sociology. More g ...Full description
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Survival analysis is a branch of statistics which deals with death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in economics or sociology. More generally, survival analysis involves the modeling of time to event data; in this context, death or failure is considered an "event" in the survival analysis literature. Many concepts in Survival analysis have been explained by the Counting Process Theory, which has emerged more recently. The flexibility of a counting process is that it allows modeling multiple (or recurrent) events. This type of modeling fits very well in many situations (e.g. people can go to jail multiple times, alcoholics can start and stop drinking multiple times, people can get married and get a divorce many times).