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Técnicas de inferencia no paramétrica

Authors: López Villalta Moral, Gema;

Técnicas de inferencia no paramétrica

Abstract

Este trabajo se centra en el estudio de algunas técnicas estadísticas no paramétricas, tanto desde el punto de vista teórico general como de la aplicación práctica de los diferentes modelos de contrastes de hipótesis, a través del software estadístico Statgraphics. Al mismo tiempo, su estructura permite dar una una visión de la evolución de la Estadística, punto de inicio del trabajo, mostrando los avanzados procedimientos que se han desarrollado, los cuales permiten analizar cualquier tipo de relación de interés, para juzgar si una propiedad que se supone veraz en una población estadística es compatible con lo observado en una muestra de la población.

This work focuses on the study of some nonparametric statistical techniques, from the general theoretical point of view and the practical application of the different models of significance tests by means of the statistical software Statgraphics. At the same time, the structure of the final project allows to give a view of the evolution of Statistics. From its origin to the advanced procedures that have been developed, which allow to analyze any type of relationship of interest, to judge whether a property assumed to be true in a statistical population is compatible with what is observed in a sample of the population.

Keywords

Matemáticas, 1209.06, Statistics, Distribution-free and nonparametric methods, 1209, Estadística, Métodos de distribución libre y no paramétrica, Mathematics, 12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green