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https://doi.org/10.18046/eui/b...
Book . 2024 . Peer-reviewed
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Introducción al modelo clásico de regresión para científicos de datos en R

Authors: Julio César Alonso Cifuentes;

Introducción al modelo clásico de regresión para científicos de datos en R

Abstract

En la práctica es común encontrarse con científicos de datos que emplean el modelo de regresión múltiple para resolver preguntas de negocio. Si bien es popular ese uso, es poco frecuente observar en la práctica el chequeo de todos los supuestos que están detrás de este modelo y que hacen que éste pueda generar respuestas adecuadas. El objetivo de este libro es presentar el modelo estadístico clásico de regresión múltiple con toda la formalidad posible a los científicos de datos. Para lograr este objetivo se presenta una mezcla entre los fundamentos (estadísticos y de álgebra lineal) teóricos del modelo y cómo llevarlo a la práctica empleando R.

Country
Colombia
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Keywords

Analítica, thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval, Big Data Analytics, Lenguaje estadístico, R, Modelo de Regresión, Econometría, Regresiones

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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