AMCA: Symbolic, Graphic, and Numeric Computation for Fitting Statistical Distributions by Zaven A. Karian

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International Conference on Statistics, Combinatorics and Related Areas and the Eighth International Conference of Forum for Interdisciplinary Mathematics
December 19-21, 2001
School of Mathematics and Applied Statistics, University of Wollongong
Wollongong, NSW, Australia

Organizers
Satya N. Mishra (University of South Alabama), Chandra M. Gulati (University of Wollongong)

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Symbolic, Graphic, and Numeric Computation for Fitting Statistical Distributions
by
Zaven A. Karian
Denison University

Zaven A. Karian Department of Mathematics and Computer Science Denison University Granville, Ohio 43023 U.S.A. Karian@Denison.edu.

The manipulation of mathematical symbols, something that is done regularly in probability and statistics, somehow has not yet found its way into standard statistical packages such as MINITAB and SPSS. Moreover, the statistics packages that are bundled with symbolic computing systems such as Mathematica and Maple, are very limited in scope and provide only small fraction of the functionality that is necessary for the learning of probability and statistics.

This presentation will illustrate the advantages of a single software platform that combines symbolic, graphic, and numeric, computation in fitting statistical distributions. The fitting will be done through the determination of optimal parameters of a generalized lambda distribution, a four-parameter family of distributions.

Date received: September 7, 2001

Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Mathematical Conference Abstracts. Document # cagd-57.