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Muestreo de captura-recaptura: diseño, estimación y análisis de librerías en R

Authors: Pozo Barbero, Manuel;

Muestreo de captura-recaptura: diseño, estimación y análisis de librerías en R

Abstract

En esta memoria se estudian distintos métodos clásicos de captura-recaptura, válidos para la estimación del tamaño de poblaciones y algunas características de las mismas, como las tasas de supervivencia o de mortalidad. Para clasificar los diferentes métodos, se tiene en cuenta básicamente el tipo de población que estamos considerando; esta puede ser cerrada, caso en el que asumimos que el tamaño de la población no cambia en el tiempo de estudio, o bien puede ser abierta, caso en el que se acepta que dicho tamaño sí puede variar. Para finalizar el trabajo, se proponen librerías del software R en las que podemos encontrar funciones para trabajar con estos métodos. Además, de entre estas librerías se toma la librería Rcapture y se ejecutan en ella varias funciones, utilizando distintos conjuntos de datos ya implementados en dicha librería.

This memory studies several capture-recapture methods, which can be used to estimate the size of a population and some of its characteristics, like the survival or the mortality rate. To classify the different methods, it is basically taken into account the type of population that is being considered; it could be a closed population or an open population. In the first case, it is assumed that the population size does not change during the time of the study while, in the second case, the population size could modify. Finally, it is proposed some libraries in software R where different functions to work with these methods can be found. Moreover, it is chosen the Rcapture library among the R libraries where several functions are executed, using distinct datasets implemented in this library.

Universidad de Sevilla. Grado en Matemáticas

Country
Spain
Related Organizations
Keywords

R (Lenguaje de programación), Muestreo

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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