Still, only very few survival games have quality graphics, thrilling music, compatible UI, and epic gameplay in recent times after going through various survival games and trial-tested lots of play.
^ Lawless, Jerald (2002), Statistical Models and Methods for Lifetime Data (Second ed.There are many survival games in the gaming arsenal. ^ Efron, Bradley Hastie, Trevor (2016), Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (First ed.), Cambridge University Press, ISBN 978-1107149892. ^ Brostrom, Göran (2012), Event History Analysis with R (First ed.), Chapman & Hall/CRC, ISBN 978-1439831649. ^ Mendenhall, William Terry, Sincich (2007), Statistics for Engineering and the Sciences (Fifth ed.), Pearson / Prentice Hall, ISBN 978-0131877061. ^ Klein, John Moeschberger, Melvin (2005), Survival Analysis: Techniques for Censored and Truncated Data (Second ed.), Springer, ISBN 978-0387953991. ^ Olkin, Ingram Gleser, Leon Derman, Cyrus (1994), Probability Models and Applications (Second ed.), Macmillan, ISBN 0-02-389220-X. ^ a b c Ebeling, Charles (2010), An Introduction to Reliability and Maintainability Engineering (Second ed.), Waveland Press, ISBN 978-1577666257. ^ Tableman, Mara Kim, Jong Sung (2003), Survival Analysis Using S (First ed.), Chapman and Hall/CRC, ISBN 978-1584884088. Klein, Mitchel (2012), Survival analysis: A Self-learning text (Third ed.), Springer, ISBN 978-1441966452 Its survival function or reliability function is: S ( t ) = P ( Let the lifetime T be a continuous random variable with cumulative hazard function F( t) and hazard function f(t ) on the interval [0,∞). Sometimes complementary cumulative distribution functions are called survival functions in general. The survival function is the complementary cumulative distribution function of the lifetime. 
The term reliability function is common in engineering while the term survival function is used in a broader range of applications, including human mortality. The survival function is also known as the survivor function or reliability function. The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time.
Probability of survival beyond any specified time
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