Programa de Doctorat en Estadística i Investigació Operativa: Envíos recientes
Mostrando ítems 21-40 de 56
From RNA to histological images: linking the transcriptome with human phenotypes through statistical learning
Genomic datasets are fundamental to broaden our understanding of human biology in the context of health and disease. However, the high-dimensional nature of gene expression and other molecular traits poses a challenge when ...
Ingeniería kansei en el campo del diseño : una aproximación desde la ingeniería estadística aplicada a la percepción de los materiales
The objective of the current doctoral thesis is the theoretical and experimental application of Kansei engineering in the field of design. Kansei engineering is a method that aims to develop or improve products, services ...
Zipf extensions and their applications for modeling the degree sequences of real networks
The Zipf distribution, also known as discrete Pareto distribution, attracts considerable attention because it helps describe skewed data from many natural as well as man-made systems. Under the Zipf distribution, the ...
Designing smart ITS services through innovative data analysis modeling
Nowadays, one of the most important problems in urban areas concerns traffic congestion. This, in turn, has an impact on the economy, nature, human health, city architecture, and many other facets of life. Part of the ...
Solving large-scale two-stage stochastic optimization problems by specialized interior point method
Two-stage stochastic optimization models give rise to very large linear problems (LP). Several approaches have been devised for efficiently solving them, among which are interior-point methods (IPM). However, using IPM, ...
Statistical methods and software for clinical trials with binary and survival endpoints : efficiency, sample size and two-sample comparison
Defining the scientific question is the starting point for any clinical study. However, even though the main objective is generally clear, how this is addressed is not usually straightforward. Clinical studies very often ...
Multistage scenario trees generation for renewable energy systems optimization
The presence of renewables in energy systems optimization have generated a high level of uncertainty in the data, which has led to a need for applying stochastic optimization to modelling problems with this characteristic. ...
Assessing interventions to improve adherence to reporting guidelines in biomedical research
The lack of transparency and accuracy of research reports has been pointed out as one of the main factors causing research waste. Reporting guidelines (RGs) are sets of recommendations for authors on how to report research ...
Optimization methods for the design of progressive lenses
This work is the result of an Industrial Doctorate developed through a partnership agreement between the Universitat Politècnica de Catalunya and the company Horizons Optical. This thesis solves the complex design of ...
Valoración del riesgo en un modelo multinivel de suministro
Risk management is a structured approach that incorporates uncertainty related to a threat, linked to a sequence of inherently human activities that include risk assessment, as well as other strategies for its mitigation. ...
Cuantificación del riesgo global del asegurado para mejorar la tarificación
The first contribution of this Thesis is the creation of a new risk measure that allows to classify the clients according to the risk that they bring to the company. This measure defined from the aggregate information at ...
The multi-depot VRP with vehicle interchanges
In real-world logistic operations there are a lot of situations that can be exploited to get better operational strategies. It is important to study these new alternatives, because they can represent significant cost ...
Contributions to the planning and analysis of factorial designs
The thesis is structured in five articles. In the first article, two methods are compared to analyze the significance of the effects: the Lenth method and the one based on the estimation of the variance of the effects from ...
CHROMA model for the information-driven decision-making process
The strong, progressive interaction between decision-making processes (DMP) and information technologies has led to breakthroughs in how business is conducted. These developments represent the advent of significant trends ...
The flexible periodic vehicle routing problem: modeling alternatives and solution techniques
In this thesis the Flexible Periodic Vehicle Routing Problem is introduced and studied. In this problem a carrier must establish a distribution plan to serve a given set of customers over a planning horizon using a fleet ...
Policentrisme i eficiència territorial : avenços teòrics i empírics
The overarching research goal of this dissertation is to make theoretical and empirical contributions on the link between the polycentric spatial organization of agglomeration in metropolitan areas and its economic, social ...
New models and algorithms for several families of Arc Routing Problems
Some of the most common decisions to be taken within a logistic systems at an operational level are related to the design of the vehicle routes. Vehicle Routing Problems and Arc Routing Problems are well-known families of ...
Exact and heuristic methods for statistical tabular data protection
One of the main purposes of National Statistical Agencies (NSAs) is to provide citizens or researchers with a large amount of trustful and high quality statistical information. NSAs must guarantee that no confidential ...
Análisis estadístico de corpus cronológicos : aplicación al estudio de bases bibliográficas y textos retóricos
Due to the huge amount of textual data that is persintently generated, researchers are obliged to classify and analize them, even though there are different ways as well as computing tools to facilitate their study. In ...
Composite endpoints in clinical trials : computational tools, practical guidelines and methodological extensions
The conclusions from randomized clinical trials (RCT) rely on the primary endpoint (PE), which is chosen at the design stage of the study; thus, it is of utmost importance to select it appropriately. In RCT, there should ...
