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by Diego Campos (Author)
Tesis del a o 2011 en eltema Econom a - Estad sticas y m todos, Nota: 7, Idioma: Espa ol, Resumen: Los datos composicionales se caracterizan por ser vectores aleatorios de componentes positivas y de suma constante (100, 1, un mill n, etc.). En Geolog a, Petrolog a, Qu mica, Econom a, etc., es habitual trabajar con vectores de datos cuyas componentes representan la contribuci n relativa de diferentes partes en relaci n a un total, dando lugar a muestras composicionales. Con frecuencia aparecen medidas de esta ndole, por ejemplo: - Ciencias de la tierra (geoqu mica, petrolog a, etc.): El estudio composicional de un cierto tipo de bencina (compuesto de Etano, Metano, etc.). - Biolog a: El estudio composicional en una muestra de sangre (sustancias minerales como la glucosa, el colesterol, la urea, el calcio, el f sforo y el cido rico, entre otros). - Ciencias ambientales: El an lisis composicional de contaminaci n en una cierta ciudad (distintos tipo de variables que influyen en la contaminaci n). - Econom a: An lisis de Stock Per-C pita en una muestra de pa ses. Este tipo de problemas tienen una caracter stica en com n, que es poseer variables con una cierta escala (la medida no es necesariamente la misma), donde la suma total de todas las variables de cada observaci n, no precisamente suman un 100%, debiendo asignar un peso a cada variable para cada una de las observaciones. Esta situaci n provoca la inadecuaci n de los m todos estad sticos cl sicos, as , el inter s por disponer de herramientas adecuadas para ste tipo de an lisis se hace fundamental. El problema del an lisis estad stico de datos composicionales ha sido y es una fuente de preocupaci n para muchos cient ficos desde que en 1897 Karl Pearson pusiera de manifiesto la inadecuaci n de los m todos estad sticos cl sicos para el estudio de los mismos. ...]
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