DUGiDocsCODAWORK’08
3rd Compositional Data Analysis Workshop. Girona 27-30 May 2008
The CodaWork’08 Workshop on Compositional Data Analysis is intended as a forum for discussion of research issues related to the statistical treatment and modelling of compositional data, the interpretation of models for compositional data and applications involving compositional data. The primary goal of the workshop is to identify important potential lines of future research and gain insight as to how they might be tackled. With this goal in mind, we intend to bring together specialist researchers, postgraduate students, data analysts as well as those with a general interest in the field, prepared to summarize and share crucial contributions and recent developments and to participate as members of a brainstorming think tank
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- Invited session [3]
- Session 0: About zeroes [4]
- Session 1: Software [2]
- Session 2: From counts [5]
- Session 3: On geology [5]
- Session 4: Research design in classification [5]
- Session 5: Natural constraints in coda [5]
- Session 6: Bio and social compositional data [5]
- Session 7: On functions [5]
- Session 8: Pool of applications [5]
Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis
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Compositional evolution with mass transfer in closed systems
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CODAPACK3D. A new version of Compositional Data Package
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Statistical evidences of cyclic changes in volcanic gas chemistry composition by inverse modelling
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Compositions in life science data
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Compositional analysis of bivariate discrete probabilities
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Mixing compositions and other scales
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Discrete and continuous compositions
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CODAMAT: a modern analogue techinque for compositional data
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Coherent forecasting of multiple-decrement life tables: a test using Japanese cause of death data
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When zero doesn't mean it and other geomathematical mischief
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Studies in stoichiometry with compositional data
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Revisiting the compositional data. Some fundamental questions and new prospects in Archaeometry and Archaeology
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News from compositions, the R package
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