1 resultado para Asbestos in building
em Universitat de Girona, Spain
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (9)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (15)
- B-Digital - Universidade Fernando Pessoa - Portugal (2)
- Biblioteca de Teses e Dissertações da USP (7)
- Biblioteca Digital da Câmara dos Deputados (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (17)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (10)
- Brock University, Canada (8)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- Cambridge University Engineering Department Publications Database (25)
- CentAUR: Central Archive University of Reading - UK (55)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- Cochin University of Science & Technology (CUSAT), India (7)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (6)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (4)
- Dalarna University College Electronic Archive (4)
- Deakin Research Online - Australia (87)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (9)
- Digital Peer Publishing (3)
- DigitalCommons@The Texas Medical Center (4)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (6)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (9)
- Helda - Digital Repository of University of Helsinki (14)
- Indian Institute of Science - Bangalore - Índia (18)
- Instituto Politécnico de Bragança (2)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (3)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (32)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (34)
- Queensland University of Technology - ePrints Archive (166)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (12)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (2)
- Repositorio Institucional de la Universidad de La Laguna (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (55)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- Universidad de Alicante (8)
- Universidad del Rosario, Colombia (14)
- Universidad Politécnica de Madrid (39)
- Universidade de Lisboa - Repositório Aberto (4)
- Universidade Federal do Pará (8)
- Universidade Federal do Rio Grande do Norte (UFRN) (36)
- Universidade Metodista de São Paulo (7)
- Universidade Técnica de Lisboa (2)
- Universita di Parma (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Montréal, Canada (11)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (40)
- University of Queensland eSpace - Australia (8)
- University of Southampton, United Kingdom (2)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
Our essay aims at studying suitable statistical methods for the clustering of compositional data in situations where observations are constituted by trajectories of compositional data, that is, by sequences of composition measurements along a domain. Observed trajectories are known as “functional data” and several methods have been proposed for their analysis. In particular, methods for clustering functional data, known as Functional Cluster Analysis (FCA), have been applied by practitioners and scientists in many fields. To our knowledge, FCA techniques have not been extended to cope with the problem of clustering compositional data trajectories. In order to extend FCA techniques to the analysis of compositional data, FCA clustering techniques have to be adapted by using a suitable compositional algebra. The present work centres on the following question: given a sample of compositional data trajectories, how can we formulate a segmentation procedure giving homogeneous classes? To address this problem we follow the steps described below. First of all we adapt the well-known spline smoothing techniques in order to cope with the smoothing of compositional data trajectories. In fact, an observed curve can be thought of as the sum of a smooth part plus some noise due to measurement errors. Spline smoothing techniques are used to isolate the smooth part of the trajectory: clustering algorithms are then applied to these smooth curves. The second step consists in building suitable metrics for measuring the dissimilarity between trajectories: we propose a metric that accounts for difference in both shape and level, and a metric accounting for differences in shape only. A simulation study is performed in order to evaluate the proposed methodologies, using both hierarchical and partitional clustering algorithm. The quality of the obtained results is assessed by means of several indices