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La apropiación social del conocimiento de los quince grupos de investigación de la Facultad de Tecnología había sido tradicionalmente divulgada en los eventos llevados a cabo por la vicerrectoría de investigación, ...

Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussi...

This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. Practical missi...

From the Publisher: A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical syst...

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of pane...

We present here a framework for the study of molecular variation within a single species. Information on DNA haplotype divergence is incorporated into an analysis of variance format, derived from a matrix of squared-dist...

BACKGROUND: Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis...

Preface.PART I: OVERVIEW AND BASIC APPROACHES.Introduction.Missing Data in Experiments.Complete-Case and Available-Case Analysis, Including Weighting Methods.Single Imputation Methods.Estimation of Imputation Uncertainty...

BACKGROUND: the analysis of microbial communities through dna sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, vis...

Genome-wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomiza...

Presentamos la potencialidad de uno de los CAQDAS (Computer Assisted Qualitative Data Analysis Software) más populares, ATLAS.ti, y un manual básico, profusamente ilustrado, para facilitar su uso en la versión 8. La e...

In a world where digital innovation reigns supreme, your journey to digital mastery begins here. “Digital Productivity: Mastering Tools for Success” is your indispensable guide to navigating the vast digital landscap...

Digital Scholar: Learning in the Age of Internet" is your gateway to a dynamic world where education and research flourish in the digital landscape. In an era defined by limitless information and global connectivity, thi...

In light of today's extensive use of digital communication, this volume focuses on how to understand and manage the various types of linguistically-based products that facilitate the use and extraction of information. In...

In the last decades, the study of Afro-Spanish varieties that developed during the Colonial period in the Americas has seduced many scholars. The analysis of these Afro-Hispanic speech patterns is crucial to determine th...

This book treats econometric methods for analysis of applied econometrics with a particular focus on applications in macroeconomics. Topics include macroeconomic data, panel data models, unobserved heterogeneity, model c...

L’any 2009, la Diputació de Girona va encarregar a la càtedra UNESCO de la Universitat de Girona la realització d’un estudi sobre el sector cultural als municipis de la província. El treball va aportar una radiog...

Progress towards gender equality in Europe has been very significant over the last century, however, there is still room for improvement in some of the key dimensions. The EU Gender Equality Strategy 2020-2025 calls for ...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

As a key outcome of the book, a statistical analysis will be carried out to confirm social groups´ homogeneity and confrontation within the Spanish society. Data for the statistical analysis are taken from Survey number...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

Previous research suggests that the inclusion of motivational strategies in interventions for intimate partner violence (IPV) offenders could increase their effectiveness. This review evaluated the effectiveness of inter...

The scientific literature on altmetrics published from 2005 to 2018 was analysed. The overall structure of the speciality's intellectual landscape is depicted through clusters of co-cited references, analysing journal an...

Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified. In other words, they are being use...