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.
On a shape estimator of weiss
β Scribed by Ishay Weissman
- Publisher
- John Wiley and Sons
- Year
- 1981
- Tongue
- English
- Weight
- 107 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0894-069X
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The problem of estimating the shapeβparameter of a distribution is considered. We introduce a class of estimators the distributions of which are independent of location and scale. An estimator proposed by Weiss [1] is a member of this class. We find the asymptotically most efficient estimator in this class which differs from that proposed by Weiss.
π SIMILAR VOLUMES
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The application of the Zienkiewicz-Zhu estimator was extended to the estimation of the discretization error arising from shape sensitivity analysis using the finite element method. The sensitivity error was quantified from the sensitivity of the energy norm by using an estimator specially developed
## DEDICATED TO STAN ULAM The dubious honor of being your anti-keynote speaker1 has no doubt fallen to me because I am an engineer and applied mathematician gone astray-a victim of the seductive wiles of pure mathematics. Of course the days of penitence in matters of chastity are long gone, so d