Search Results - subject:"compositional data"

Modeling compositional time series with vector autoregressive models

Kynčlová, Petra; Filzmoser, Peter; Hron, Karel - In: Journal of forecasting 34 (2015) 4, pp. 303-314

Persistent link: https://www.econbiz.de/10011305170

The Role of Governance in Determining Foreign Aid Flow Composition

Winters, Matthew S.; Martinez, Gina - In: World Development 66 (2015) C, pp. 516-531

categorize aid flows from the period 2004 to 2010. Results from fixed effect and compositional data models provide evidence of …

Persistent link: https://www.econbiz.de/10011077527

Measuring subcompositional incoherence

Greenacre, Michael - Department of Economics and Business, Universitat … - 2008

Subcompositional coherence is a fundamental property of Aitchison’s approach to compositional data analysis, and is the …

Persistent link: https://www.econbiz.de/10005704866

Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis

Greenacre, Michael - Department of Economics and Business, Universitat … - 2008

these methods, which are frequently used in compositional data analysis, may be linked through parametrizations such as …

Persistent link: https://www.econbiz.de/10005704926

Estimation of a proportion in survey sampling using the logratio approach

Hron, Karel; Templ, Matthias; Filzmoser, Peter - In: Metrika 76 (2013) 6, pp. 799-818

are estimated from compositions, because the sample space of compositional data is the simplex and not the usual Euclidean …

Persistent link: https://www.econbiz.de/10010896492

Distributional equivalence and subcompositional coherence in the analysis of contingency tables, ratio-scale measurements and compositional data

Greenacre, Michael; Lewi, Paul - Department of Economics and Business, Universitat … - 2005

subcompositional coherence, which forms the basis of compositional data analysis. For an analysis to be subcompositionally coherent, it … suffices to analyse the ratios of the data values. The usual approach to dimension reduction in compositional data analysis is … log-ratio methodology is applied here to frequency data in linguistics and to chemical compositional data in archaeology. …

Persistent link: https://www.econbiz.de/10005704909

A Latent Budget Analysis Approach to Classification: Examples from Economics

Larrosa, Juan MC - Volkswirtschaftliche Fakultät, … - 2005

Latent budget analysis is a classification technique that allows clustering identification by using compositional data …

Persistent link: https://www.econbiz.de/10005619854

Speaking Stata: Graphing categorical and compositional data

Cox, Nicholas J. - In: Stata Journal 4 (2004) 2, pp. 190-213

A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more …

Persistent link: https://www.econbiz.de/10005568784

Dealing with Distances and Transformations for Fuzzy C-Means Clustering of Compositional Data

Palarea-Albaladejo, Javier; Martín-Fernández, Josep; … - In: Journal of Classification 29 (2012) 2, pp. 144-169

Persistent link: https://www.econbiz.de/10011000039

Discriminant analysis for compositional data and robust parameter estimation

Filzmoser, Peter; Hron, Karel; Templ, Matthias - In: Computational Statistics 27 (2012) 4, pp. 585-604

Compositional data, i.e. data including only relative information, need to be transformed prior to applying the …

Persistent link: https://www.econbiz.de/10010600755