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A Maximum Likelihood Estimator for Shape Parameters of S-Distributions

✍ Scribed by Eberhard O. Voit

Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
251 KB
Volume
42
Category
Article
ISSN
0323-3847

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✦ Synopsis

The S-distribution is a four-parameter distribution that is defined in terms of a differential equation, in which the cumulative is represented as the dependent variable:

The article proposes a maximum likelihood estimator for the shape parameters of this distribution.

πŸ“œ SIMILAR VOLUMES

A Comment on Maximum Likelihood Estimati
A Comment on Maximum Likelihood Estimation for Finite Mixtures of Distributions
✍ Dr. K. P. Burnham πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 273 KB

Iterative numerical methods are necessary t o find the maximum likelihood estimates for finite mixture distributions. This paper shows that it will often be possible to analytitally reduce the number of equations that must ultimately be solved numerically. Such a reduction in dimensionality has not