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S Distribution


The S distribution is defined in terms of its distribution function F(x) as the solution to the initial value problem

 (dF)/(dx)=alpha(F^g-F^h),

where F(x_0)=F_0 (Savageau 1982, Aksenov and Savageau 2001). It has four free parameters: G, h, alpha, and x_0.

The S distribution is capable of approximating many central and noncentral unimodal univariate distributions rather well (Voit 1991), but also includes the exponential, logistic, uniform and linear distributions as special cases. The S distribution derives its name from the fact that it is based on the theory of S-systems (Savageau 1976, Voit 1991, Aksenov and Savageau 2001).


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References

Aksenov, S. V. "Fitting and Functionals of the S Distribution." v0.99, 18 June 2002. http://aksenov.freeshell.org/sdist.html.Aksenov, S. V. and Savageau, M. A. "Statistical Inference and Modeling with the S Distribution." 17 Dec 2001. http://arxiv.org/abs/physics/0112046.Savageau, M. A. Biochemical Systems Analysis: A Study of Function and Design in Molecular Biology. Cambridge, MA: Addison-Wesley, 1976.Savageau, M. A. "A Suprasystem of Probability Distributions." Biom. J. 24, 323-330, 1982.Voit, E. O. (Ed.). Canonical Nonlinear Modeling: S-System Approach to Understanding Complexity. New York: Van Nostrand Reinhold, 1991.Voit, E. O. and Savageau, M. A. "Analytical Solutions to a Growth Equation." J. Math. Anal. Appl. 103, 380-386, 1984.

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S Distribution

Cite this as:

Weisstein, Eric W. "S Distribution." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/SDistribution.html

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