Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Rubén Fernández-Casal"'
Autor:
Isabel Casas, Rubén Fernández-Casal
Publikováno v:
The R Journal. 14:79-100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c401874f6dc7b4152a6c82a8de5115b
https://doi.org/10.32614/rj-2022-002
https://doi.org/10.32614/rj-2022-002
Publikováno v:
International Journal of Comparative Sociology. 63:128-152
This article analyzes the state–market nexus by examining the role played by sovereign credit default swap (CDS) derivative markets in the southern European debt crisis of 2010–2014. This nexus is conceived of as being part of a larger process of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff7afe06c55c7d0d988e5dd23c022b4e
https://doi.org/10.1177/00207152221093519
https://doi.org/10.1177/00207152221093519
Autor:
Miguel Flores, Salvador Naya, Rubén Fernández-Casal, Sonia Zaragoza, Paula Raña, Javier Tarrío-Saavedra
Publikováno v:
Mathematics, Vol 8, Iss 1, p 58 (2020)
This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies providing statistical consultancy se
Externí odkaz:
https://doaj.org/article/8f06ff9f6f2f4701bec0e13b92f3dd3d
Publikováno v:
Computational Statistics. 36:2939-2965
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend models on latitude and longi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f37d100bbf2a53e4550ae15a6d1e10
https://doi.org/10.1007/s00180-021-01108-0
https://doi.org/10.1007/s00180-021-01108-0
A nonparametric procedure to estimate the conditional probability that a geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that combines conditional simulation techniques with nonparame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a40b18ced14ff8fdedda83fc410a14d9
https://doi.org/10.21203/rs.3.rs-1398694/v1
https://doi.org/10.21203/rs.3.rs-1398694/v1
Publikováno v:
Computational Statistics & Data Analysis. 137:1-15
The aim is to provide a nonparametric bootstrap method for spatial data, which can be either stationary or depart from the stationarity condition due to the presence of a non-constant trend. The proposed technique has been designed to reproduce the v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e69824f955b5d78f79b15f462b495ac
https://doi.org/10.1016/j.csda.2019.01.017
https://doi.org/10.1016/j.csda.2019.01.017
Autor:
Javier Tarrío-Saavedra, Rubén Fernández-Casal, Salvador Naya, Miguel Flores, Paula Raña, Sonia Zaragoza
Publikováno v:
Mathematics, Vol 8, Iss 1, p 58 (2020)
RUC. Repositorio da Universidade da Coruña
instname
Mathematics
Volume 8
Issue 1
RUC. Repositorio da Universidade da Coruña
instname
Mathematics
Volume 8
Issue 1
This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies providing statistical consultancy se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03dd57ae51ed3489c0abe09d33c998c9
https://www.mdpi.com/2227-7390/8/1/58
https://www.mdpi.com/2227-7390/8/1/58
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 181:11-20
In this paper we present an R package with routines to perform Interlaboratory Studies (ILS). The aim of the ILS package is to detect laboratories that provide not consistent results, working simultaneously with different test materials, from the per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b1c05dc9ae10ad04ceb76952f30a8f
https://doi.org/10.1016/j.chemolab.2018.07.013
https://doi.org/10.1016/j.chemolab.2018.07.013
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 176:134-148
Functional data analysis (FDA) alternatives, based on the classical Mandel h and k statistics, are proposed to identify the laboratories that supply inconsistent results in interlaboratory studies (ILS). ILS is the procedure performed by a number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8edfd76c8ba8324ef7f377cddec437
https://doi.org/10.1016/j.chemolab.2018.03.016
https://doi.org/10.1016/j.chemolab.2018.03.016
Publikováno v:
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
[Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques available in R. Apart from integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f96c426cb1c84c2aa08bf2bb62c016c9
https://doi.org/10.32614/rj-2021-034
https://doi.org/10.32614/rj-2021-034