Exploració per tema "Factor analysis"
Ara es mostren els items 1-11 de 11
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A novel clustering method for breaking down the symmetric multiple traveling salesman problem
(OmniaScience, 2021-04)
Article
Accés obertPurpose: This study proposes a new two-stage clustering method to break down the symmetric multiple traveling salesman problem (mTSP) into several single standard traveling salesman problems, each of which can then be ... -
Anàlisi dels riscos psicosocials al treball i el seu efecte sobre la salut
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2022-01)
Treball Final de Grau
Accés obertAquest és un estudi de la segona enquesta catalana de les condicions de treball (II ECCT) realitzada l'any 2010. L'enquesta es basa en el mètode COPSOQ desenvolupat a Dinamarca l'any 2000. En el treball, es busca, per una ... -
Análisi de la causalidad y planteamiento LISREL a partir de los modelos de medida
(Universitat Politècnica de Barcelona. Centre de Càlcul, 1983-03)
Article
Accés obertPartiendo del desarrollo de los modelos de medida del Análisis Estadístico multivariable, se presenta el modelo general LISREL, que permite analizar cualquier sistema estocástico de ecuaciones de estructura lineal, sin ... -
Assessment of urban neighbourhoods’ vulnerability through an integrated vulnerability index (IVI): evidence from Barcelona, Spain
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-14)
Article
Accés obertUrban inequality, specifically in vulnerable areas, has been a study topic from the earliest days of sociology to the present. This study’s objective is to discuss the scope and limitation of the concept of urban vulnerability, ... -
Categorized napping, a sensometric tool for food and beverage industry. An application to a hall test session
(Universitat Politècnica de Catalunya, 2010-07)
Projecte Final de Màster Oficial
Accés obertSensory analysis is the standard analysis of foods made with the senses. Under the name of sensometrics regroup statistical methods address to this type of data. An important application area of sensory analysis is the ... -
Determination of quality criteria of urban pedestrian spaces
(Centre de Política de Sol i Valoracions, CPSV / Universitat Politècnica de Catalunya, UPC, 2020-10)
Article
Accés obertLos espacios peatonales son espacios públicos importantes que promueven, apoyan y mejoran la vida pública urbana. Generalmente, éstos se crean peatonalizando calles, plazas, plazas, etc., existentes como parte de la ... -
Evaluating drape shape in woven fabrics
(2017-01-09)
Article
Accés obertA search of the scientific literature for the period 1950–2013 retrieved 36 different drape indicators. Despite the large number of indicators currently available, the drape ratio (%DR) continues to be the most widely used, ... -
Factor Analysis
(Wiley, 2013)
Capítol de llibre
Accés restringit per política de l'editorialFactor analysis is a multivariate statistical method for data reduction that originated in psychometrics and has found applications in many branches of science. The method aims to describe the correlation structure between ... -
Improved damage detection in Pelton turbines using optimized condition indicators and data-driven techniques
(2021-01-07)
Article
Accés obertThe health condition of hydraulic turbines is one of the most critical factors for the operation safety and financial benefits of a hydro power plant. After the massive entrance of intermittent renewable energies, hydropower ... -
ISO 9001 Aspects Related to Performance and Their Level of Implementation
(OmniaScience, 2016-12)
Article
Accés obertPurpose: In the last three decades, thousands of companies around the world have embraced the ISO 9001 standard in their quest to improve company performance and customer satisfaction. In recent literature, a number of ... -
Statistical and computational techniques for extraction of underlying systematic risk factors: A comparative study in the Mexican stock exchange
(2021-07)
Article
Accés obertThis paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis, and Neural Networks Principal Component Analysis, which are ...