MIRAR: Catálogo de software de matemáticas. Catálogo de software de matemáticas La geometría ha sido durante siglos uno de los pilares de la formación académica desde edades tempranas.
Nadie cuestiona la importancia de la geometría como formadora del razonamiento lógico. Pocos son quienes discuten su trascendencia tanto en estudios posteriores de cualquier ciencia como en el desarrollo de habilidades cotidianas. Durante la segunda mitad del siglo pasado, perdió paulatinamente presencia en los planes de estudio. Afortunadamente, los actuales currículos de matemáticas de todos los niveles educativos confieren a la geometría la importancia que nunca debió perder.
¿Estamos enseñando a nuestros alumnos una geometría adecuada? ¿Qué geometría debemos enseñar? Actualmente disponemos de las herramientas necesarias para que la formación del alumno sea más completa. Los ejemplos más importantes para la ayuda de la enseñanza de la geometría mediante medios informáticos son los llamados programas de Geometría Dinámica. Poly Pro Cabri II Plus.
Excel. Perhaps surprising to engineers, Excel's lackluster performance as a statistics engine has been well-documented by practicing statisticians for more than a decade.
Engineers use Excel for many numerical tasks. They don't use if for finite element computations (although I suppose you could coax Excel to do that too) because it wasn't intended for that purpose. They shouldn't use it for statistics either, and for the same reason - Excel doesn't do a very good job at tasks for which it was not intended. List of Free Statistical Software. Common Mistakes in Statistics. Introduction Types of Mistakes Suggestions Resources Table of Contents About Glossary Blog Introduction Medical researcher John P.
A. Ioannidis has asserted, "It can be proven that most claimed research findings are false. The intent of this website is to discuss some of the common mistakes made in using statistics, and offer suggestions on how to avoid making them. Types of mistakes Many mistakes in using statistics fall into one of the following categories: Suggestions for reducing the incidence of mistakes in using statistics Glossary Resources Table of Contents About. Statistical Services Centre - Training and Consultancy in Statistics. Obtaining SSC-Stat The full version of SSC-Stat may be downloaded and used for non-commercial purposes by any individual free of charge.
There is no copy-protection, time limit or special data size restriction. SSC-Stat can be supplied on a CD, for which there is a minimum charge of £40. When the software is supplied on CD, a printed copy of the SSC-Stat Tutorial (pdf, 290KB) is also provided. Get SSC-Stat now. Licensing, costs and terms of use Individuals can use SSC-Stat at no cost, provided that it is for non-commercial purposes. SSC-Stat must be licensed for multiple, government and commercial use. Econometrics at Illinois. Quantile regression is a statistical technique intended to estimate, and conduct inference about, conditional quantile functions.
Just as classical linear regression methods based on minimizing sums of squared residuals enable one to estimate models for conditional mean functions, quantile regression methods offer a mechanism for estimating models for the conditional median function, and the full range of other conditional quantile functions. By supplementing the estimation of conditional mean functions with techniques for estimating an entire family of conditional quantile functions, quantile regression is capable of providing a more complete statistical analysis of the stochastic relationships among random variables.
Three elementary introductions to quantile regression: Koenker, R. and K. Hallock, (2001) Quantile Regression, Journal of Economic Perspectives, 15, 143-156. Cade, B. and B. Hao, Lingxin, and Daniel Q. A more extended treatment of the subject is now also available: