A Graphical Classification of Survival Distributions

  • Shawn S. Yu
  • Eberhard O. Vorr


The S-distribution is defined in the form of a four-parameter nonlinear differential equation, with the cumulative distribution function of the survival time as the dependent variable and the survival time as the independent variable. The first parameter characterizes the location, the second the scale, and the other two the shape of the model. The S-distribution covers the logistic distribution and the exponential distribution as special cases and approximates other common survival models with rather high precision. The S-distribution is used to classify common survival distributions within a two-dimensional space in which characteristics related to the shape of the density function and the hazard function can be studied. Nonlinear regression methods are used in the classification procedure.


Mean Square Error Shape Parameter Exponential Distribution Hazard Function Pareto Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Shawn S. Yu
    • 1
    • 2
  • Eberhard O. Vorr
    • 1
    • 2
  1. 1.Center of BiometricsSyntex Inc.Palo AltoUSA
  2. 2.Department of Biometry and EpidemiologyMedical University of South CarolinaCharlestonUSA

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