DUGiDocsCODAWORK’05
2nd Compositional Data Analysis Workshop. Girona 19-21 October 2005
The Workshop on Compositional Data is intended as a forum for discussion of important points related to the statistical treatment and modelling of compositional data, as well as their applications and interpretation. The goal of such discussions is to get some insight into the most appealing future lines of research in the field. In order to meet this general but clear goal, we intend to bring together a significant number of specialists, users and interested people to collect critical contributions and start a stimulating brainstorming.
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Jerarquia
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- Invited lectures'05 [3]
- Session 1: Theoretical advances in compositional data analysis. [9]
- Session 2: Applications to geology and environmental science [9]
- Session 3: Applications to economy and social sciences [5]
- Session 4: Other fields of application [3]
- Session 5: Design of teaching and computing tools [4]
A compositional approach to stable isotope data analysis
Conf. Object
Regression analysis of compositional data when both the dependent variable and independent variable are components
Conf. Object
Convex linear combination processes for compositions
Conf. Object
Application of discriminant function analysis and change-point problem in dating volcanic ashes
Conf. Object
An R Library for Compositional Data Analysis in Archaeometry
Conf. Object
Group preference structures in AHP–group decision making
Conf. Object
Compositional analysis of archaeological glasses
Conf. Object
Grain size analyses in tin-lead glazes based on 2d-sections
Conf. Object
Comparing correspondence analysis and the log-ratio alternative for representing categorical data
Conf. Object
Some last thoughts on compositional data analysis
Conf. Object
Compositional Data in Biomedical Research
Conf. Object
Comparison studies of tin deposits (Priamurye, Russia) using the Aitchison’s methodology
Conf. Object
Aitchison Geometry for Probability and Likelihood as a new approach to mathematical statistics
Conf. Object
Analyzing shapes as compositions of distances
Conf. Object