CODAWORK’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
Quantifying rock fabrics: a test of autocorrelation of the spatial distribution of cristals
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Clustering compositional data trajectories
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Bayesian tools for zero counts in compositional data
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Robust Factor Analysis for Compositional Data
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Elemental analysis of New Zealand Nephrite Jade (pounamu) for forensic purposes
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Compositional Time Series: An Application
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Application of compositional data analysis to geochemical data of marine sediments
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A Log-linear model of grain size influence on the geochemistry of sediments
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Scoring Methods for Ordinal Multidimensional Forced-Choice Items
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Compositions in life science data
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Intrinsic test of independence in contingency tables
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Compositional data and Simpson's paradox
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Inference of distributional parameters from compositional samples containing nondetects
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Statistical treatment of grain-size curves and empirical distributions: densities as compositions?
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An alternative method for dating unknown tephras based on a segmented regression model
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Multivariate ARIMA Compositional Time Series Analysis
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A unified approach for representing rows and columns in contingency tables
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When zero doesn't mean it and other geomathematical mischief
Obj. de conferència
Multi-isotopic and compositional exploration of factors controlling nitrate pollution
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Statistical evidences of cyclic changes in volcanic gas chemistry composition by inverse modelling
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CODAPACK3D. A new version of Compositional Data Package
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Compositional analysis of bivariate discrete probabilities
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Mixing compositions and other scales
Obj. de conferència
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