ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
El grup fa recerca i transferència de coneixement en tres àmbits:
a) Estadística industrial, amb aplicacions per millorar la qualitat i la productivitat dels processos industrials, la logística industrial, la predicció, la gestió i millora de la qualitat (Six Sigma) i el disseny emocional dels productes (Kansei Engineering).
b) L'ús de l'anàlisi en entorns empresarials i industrials. Estem treballant en la caracterització dels clients i el “churn” (detecció precoç de l'abandonament) i la fiabilitat i el manteniment preventiu de màquines remotes.
c) L'anàlisi de dades complexes, d'aplicacions espacials i / o temporals discretes i sovint dependents dels mètodes no paramètrics bayesians i d'enginyeria i anàlisi de resultats electorals, demografia, ecologia i anàlisi estadística del estil literari.
d) Millors formes d'ensenyar estadística als estudiants universitaris i també als professionals de l'empresa i la indústria.
El grupo realiza investigación y transferencia de conocimiento en tres ámbitos:
a) Estadística industrial, con aplicaciones para mejorar la calidad y la productividad de los procesos industriales, la logística industrial, la predicción, la gestión y mejora de la calidad (Six Sigma) y el diseño emocional de los productos (Kansei Engineering).
b) El uso del análisis en entornos empresariales e industriales. Estamos trabajando en la caracterización de los clientes y Churn (detección precoz del abandono) y la fiabilidad y el mantenimiento preventivo de máquinas remotas.
c) El análisis de datos complejos, de aplicaciones espaciales y / o temporales discretas ya menudo dependientes de los métodos no paramétricos bayesianos y de ingeniería y análisis de resultados electorales, demografía, ecología y análisis estadístico del estilo literario.
d) Mejores formas de enseñar estadística a los estudiantes universitarios y también a los profesionales de la empresa y la industria.
The group does research and knowledge transfer in three areas:
a) Industrial Statistics, with applications to improve the quality and productivity of industrial processes, industrial logistics, forecasting, quality management and improvement (Six Sigma) and the emotional design of products (Kansei Engineering).
b) The use of analytics in business and industrial environments. We are working on customer characterization and Churn (early detection of abandonment) and reliability and preventive maintenance of remote machines.
c) The analysis of complex data, discrete and often dependent spatial and / or temporal applications of Bayesian nonparametric methods and engineering and analysis of election results, demographics, ecology, and the statistical analysis of literary style.
d) Better ways to teach statistics to university students and also to business and industry professionals.
The group does research and knowledge transfer in three areas:
a) Industrial Statistics, with applications to improve the quality and productivity of industrial processes, industrial logistics, forecasting, quality management and improvement (Six Sigma) and the emotional design of products (Kansei Engineering).
b) The use of analytics in business and industrial environments. We are working on customer characterization and Churn (early detection of abandonment) and reliability and preventive maintenance of remote machines.
c) The analysis of complex data, discrete and often dependent spatial and / or temporal applications of Bayesian nonparametric methods and engineering and analysis of election results, demographics, ecology, and the statistical analysis of literary style.
d) Better ways to teach statistics to university students and also to business and industry professionals.
Col·leccions
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Articles de revista [45]
Enviaments recents
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Validation and implementation of a diagnostic algorithm for DNA Detection of Bordetella pertussis, B. parapertussis, and B-holmesii in a Pediatric Referral Hospital in Barcelona, Spain
(2019-01-01)
Article
Accés obertThis study aimed to validate a comprehensive diagnostic protocolbased on real-time PCR for the rapid detection and identification ofBordetella per-tussis,Bordetella parapertussis, andBordetella holmesii, as well as its ... -
Estimating pore water electrical conductivity of sandy soil from time domain reflectometry records using a time-varying dynamic linear model
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-13)
Article
Accés obertDespite the importance of computing soil pore water electrical conductivity (sp) from soil bulk electrical conductivity (sb) in ecological and hydrological applications, a good method of doing so remains elusive. The ... -
Saving runs in fractional factorial designs
(2018-12-27)
Article
Accés restringit per política de l'editorialWhen it is known a priori that some contrasts are negligible in a factorial design, their expressions can be used to deduce the missing results. In this article we propose a method for using this procedure when, as in the ... -
Consequences of using estimated response values from negligible interactions in factorial designs
(2018-12-21)
Article
Accés restringit per política de l'editorialThis article analyzes the increase in the probability of committing type I and type II errors in assessing the significance of the effects when some properly selected runs have not been carried out and their responses have ... -
Selecting significant effects in factorial designs: Lenth’s method versus the Box-Meyer approach
(Taylor & Francis, 2018-01-01)
Article
Accés restringit per política de l'editorialThe Lenth method is conceptually simple and probably the most common approach to analyzing the significance of the effects in factorial designs. Here, we compare it with a Bayesian approach proposed by Box and Meyer and ... -
A dynamic model of the proteins that form the initial iron-sulfur cluster biogenesis machinery in yeast mitochondria
(2013-03)
Article
Accés restringit per política de l'editorialThe assembly of iron-sulfur clusters (ISCs) in eukaryotes involves the protein Frataxin. Deficits in this protein have been associated with iron inside the mitochondria and impair ISC biogenesis as it is postulated to act ... -
DockAnalyse: an application for the analysis of protein-protein interactions
(2010-10-22)
Article
Accés obertIs it possible to identify what the best solution of a docking program is? The usual answer to this question is the highest score solution, but interactions between proteins are dynamic processes, and many times the ... -
Data-based decision rules about the convexity of the support of a distribution
(2014-01-01)
Article
Accés obertGiven n independent, identically distributed random vectors in R-d, drawn from a common density f, one wishes to find out whether the support of f is convex or not. In this paper we describe a decision rule which decides ... -
Modelling function-valued stochastic processes, with applications to fertility dynamics
(2017)
Article
Accés obertWe introduce a simple and interpretable model for functional data analysis for situations where the observations at each location are functional rather than scalar. This new approach is based on a tensor product representation ... -
Graphical comparison of normality tests for unimodal distribution data
(2019-01-02)
Article
Accés restringit per política de l'editorialA methodology is proposed to compare the power of normality tests with a wide variety of alternative unimodal distributions. It is based on the representation of a distribution mosaic in which kurtosis varies vertically ... -
Influence of fused deposition modeling (FDM) parameters on surface finish of plastic parts
(2018)
Text en actes de congrés
Accés restringit per política de l'editorialIn the present paper, influence of FDM (fused deposition modeling) parameters on surface finish of printed parts is presented. Cylindrical specimens were printed in PLA (Polylactic Acid). Five variables ... -
Outlier detection for multivariate categorical data
(2018)
Article
Accés restringit per política de l'editorialThe detection of outlying rows in a contingency table is tackled from a Bayesian perspective, by adapting the framework adopted by Box and Tiao for normal models to multinomial models with random effects. The solution ...