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Listar por palabra clave "Outliers"

Mostrando ítems 1-9 de 9

An attempt to analyse Iterative Data Snooping and L1-norm based on Monte Carlo simulation in the context of leveling networks

Klein, Ivandro; Suraci, Stefano Sampaio; de Oliveira, Leonardo Castro; Rofatto, Vinicius Francisco; Matsuoka, Marcelo Tomio; Baselga Moreno, Sergio (Maney Publishing, 2022-01-02)

[EN] The goal of this paper is to evaluate the outlier identification performance of iterative Data Snooping (IDS) and L-1-norm in levelling networks by considering the redundancy of the network, number and size of the ...
Canary Island tomato exports: A stable seasonal pattern?

Martín Rodríguez, Gloria; Cano Fernández, Víctor Javier; Cáceres Hernández, José Juan (Universitat Politècnica de València, 2002)

[EN] This paper studies the evolution of the weekly exports of Canary Island tomatoes after the entry of Spain in the European Union. A first analysis of deterministic components reveals their instability, clearly related ...
Caracterización de medidas de regularidad en señales biomédicas. Robustez a outliers

Molina Picó, Antonio (Editorial Universitat Politècnica de València, 2014-09-03)

Los sistemas fisiológicos generan señales eléctricas durante su funcionamiento. Estas señales pueden ser registradas y representadas, constituyendo un elemento fundamental de ayuda al diagnóstico en la práctica clínica ...
Detección de anomalías en series temporales univariantes

Manai, Sabri (Universitat Politècnica de València, 2024-09-10)

[ES] Este proyecto tiene como finalidad identificar anomalías en series temporales mediante la aplicación de distintos algoritmos, con un enfoque específico en la corrección de los datos tras su análisis. Se centra en ...
Fast partial quantile regression

Méndez-Civieta, Álvaro; Aguilera-Morillo, M. Carmen; Lillo, Rosa E. (Elsevier, 2022-04-15)

[EN] Partial least squares (PLS) is a dimensionality reduction technique used as an alternative to ordinary least squares (OLS) in situations where the data is colinear or high dimensional. Both PLS and OLS provide mean ...
How to Simulate Outliers with the Desired Properties

González-Cebrián, A.; Arteaga, Francisco; Folch-Fortuny, Abel; Ferrer, Alberto (Elsevier, 2021-05-15)

[EN] Deviating multivariate observations are used typically to test the performance of outlier detection methods. Yet, the generation of outlying cases itself usually appears as a secondary methodological step in methods ...
New decision rules under strict uncertainty and a general distance-based approach

Salas-Molina, Francisco; Pla Santamaría, David; Vercher Ferrandiz, Mª Luisa; Garcia-Bernabeu, Ana (American Institute of Mathematical Sciences, 2023-04-04)

[EN] Strict uncertainty implies a complete lack of knowledge about the probabilities of possible future states of the world. However, there is complete information about the set of alternatives under consideration, the set ...
Statistical Machine Learning in Biomedical Engineering

González Cebrián, Alba (Universitat Politècnica de València, 2024-04-15)

[ES] Esta tesis, desarrollada bajo una beca de formación de personal investigador de la Universitat Politècnica de València, tiene como objetivo proponer y aplicar metodologías de Statistical Machine Learning en contextos ...
Use of fulton's condition factor to filter out filter out outliers from atlantic bluefin tuna (Thunnus Thynnus L.) length-weight relationships

Deguara, Simeon; Cort, Jose Luís; Galaz, Txema; Estruch, Vicente-Domingo; Belda Pérez, Eduardo Jorge (International Commission for the Conservation of Atlantic Tunas (ICCAT), 2013)

[EN] Length-weight (L-W) relationships are important parameters in Atlantic bluefin tuna (Thunnus thynnus L) (ABFT) stock assessments. Some datasets used to determine L-W relationships contain outliers which may significantly ...