M
María del Mar Rueda
Researcher at University of Granada
Publications - 127
Citations - 1418
María del Mar Rueda is an academic researcher from University of Granada. The author has contributed to research in topics: Estimator & Population. The author has an hindex of 15, co-authored 120 publications receiving 947 citations. Previous affiliations of María del Mar Rueda include University of Jaén & University of Almería.
Papers
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Journal ArticleDOI
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
TL;DR: A survey on the current trends of the proposals of statistical analyses for the comparison of algorithms of computational intelligence can be found in this paper, along with a description of the statistical background of these tests.
Journal ArticleDOI
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review.
TL;DR: A survey on the current trends of the proposals of statistical analyses for the comparison of algorithms of computational intelligence is conducted and a description of the statistical background of these tests is included.
Journal ArticleDOI
Estimation of the distribution function with calibration methods
TL;DR: In this paper, a new calibration estimator for the distribution function of the study variable is proposed, which is a distribution function unlike others estimators that use auxiliary information, and compared with existing estimators in two simulation studies.
Journal ArticleDOI
Temperament and characteristics related to nomophobia
María Angustias Olivencia-Carrión,Ramón Ferri-García,María del Mar Rueda,Manuel G. Jiménez-Torres,Francisca López-Torrecillas +4 more
TL;DR: It is found that cooperation is a characteristic that significantly reduces nomophobic levels, particularly for the two factors of Mobile Phone Addiction and negative consequences, suggesting a relationship between Nomophobia and personality.
Book ChapterDOI
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests
TL;DR: New trends in the field of statistical comparison applied to the fieldof algorithms’ performance comparison indicate that Bayesian tests, which provides a distribution over the parameter of interest, are a promising approach.