Theory of approximations, linear algebra and statistics at the undergraduate level. (English) Zbl 0819.65002
Lewis, John G. (ed.), Applied linear algebra. Proceedings of the 5th SIAM conference, held in Snowbird, UT, USA, June 15-18, 1994. Philadelphia, PA: SIAM. 533-537 (1994).
The history of mathematics, and of science, has regularly taught us that subjects have to be adapted towards modern needs. Today, statistical tools are extremely complex, especially in nonlinear regression. It seems essential that students should learn the important algorithms within a course on statistics, learning both concepts of ill-conditionning, robustness, and the power of numerical linear algebra adapted to the field of statistics.
For the entire collection see [Zbl 0809.00014].
For the entire collection see [Zbl 0809.00014].
MSC:
| 65-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to numerical analysis |
| 65Fxx | Numerical linear algebra |
| 65C99 | Probabilistic methods, stochastic differential equations |
| 00A35 | Methodology of mathematics |
