A Continuous Metric Scaling Solution for a Random Variable
โ Scribed by C.M. Cuadras; J. Fortiana
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 397 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0047-259X
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โฆ Synopsis
As a generalization of the classical metric scaling solution for a finite set of points, a countable set of uncorrelated random variables is obtained from an arbitary continuous random variable (X). The properties of these variables allow us to regard them as principal axes for (X) with respect to the distance function (d(u, v)=) (\sqrt{|u-v|}). Explicit results are obtained for uniform and negative exponential random variables. 1995 Academic Press, Inc.
๐ SIMILAR VOLUMES
Some properties of a modification of the multidimensional Kiefer-Wolfowitz stochastic approximation algorithm are presented. First an iterative method of evaluating the Hessian matrix of a regression function is proposed. This method is then used in conjunction with the Kiefer-Wolfowitz procedure to