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Multi Indicator Systems ⚬ Partial Order Theory ⚬ PyHasse

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References 2014

  1. Al-Sharrah, G. 2014. Ranking Hazarduous Chemicals with a Heuristic Approach to Reduce Isolated Objectds in Hasse Diagrams. Pages 217-235 in R. Brüggemann, L. Carlsen, and J. Wittmann, eds. Multi-indicator Systems and Modelling in Partial Order. Springer, New York.
  2. Bartel, H.-G. and H.-J. Mucha. 2014. Measures of Incomparabilities and of Inequality and Their Application. Pages 47-67 in R. Brüggemann, L. Carlsen, and J. Wittmann, eds. Multi-indicator Systems and Modelling in Partial Order. Springer, New York.
  3. Brüggemann, R. and P. Annoni. 2014. Average heights in Partially Ordered Sets. MATCH Commun.Math.Comput.Chem. 71:101-126.
  4. Brüggemann, R., H. Scherb, K.-W. Schramm, I. Cok, and K. Voigt. 2014.CombiSimilarity, an innovative method to compare environmental and health data sets with different attribute sizes example: Eighteen Organochlorine Pesticides in soil and human breast milk samples. Ecotoxicology and Environmental Safety 105:29-35.
  5. Brüggemann, R. and L. Carlsen. 2014. Incomparable-What now? MATCH Commun.Math.Comput.Chem. 71:699-714.
  6. Brüggemann, R., L. Carlsen, K. Voigt, and R. Wieland. 2014. PyHasse Software for Partial Order Analysis. Pages 389-423 in R. Bruggemann, L. Carlsen, and J. Wittmann, eds. Multi-Indicator Systems and Modelling in Partial Order. Springer, New York.
  7. Brüggemann, R. and L. Carlsen. 2014. Incomparable: what now II? Absorption of incomparabilities by a cluster method. Quality & Quantity DOI: 10.1007/s11135-014-0076-x.
  8. Carlsen, L. and R. Brüggemann. 2014. An Analysis of the "Failed States Index" by Partial Order Methodology. J.of Social Structure 14:1-31.
  9. Pirintsos, S., M. Bariotakis, V. Kalogrias, S. Katsogianni, and R. Brüggemann. 2014. Hasse diagram Technique Can Further Improve the Interpretation of Results in Multielemental Large-Scale Biomonitoring Studies of Atmospheric Mretal Pollution. Pages 237-251 in R. Brüggemann, L. Carlsen, and J. Wittmann, eds. Multi-indicator Systems and Modelling in Partial Order. Springer, New York.
  10. Patil, G. P., W. L. Myers, and R. Brüggemann. 2013. Multivariate Data Sets for Inference of Order: Some Considerations and Explorations. Page 13-45 in R. Brüggemann, L. Carlsen, and J. Wittmann, eds. Multi-indicator Systems and Modelling in Partial Order. Springer, New York
  11. Restrepo, G. 2014. Quantifying Complexity of Partially Ordered Sets. Pages 85-103 in R. Brüggemann, L. Carlsen, and J. Wittmann, eds. Multi-indicator Systems and Modelling in Partial Order. Springer, New York.
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