References 2013

  1. Brüggemann, R. and G. Restrepo. 2013. Estimating Octanol/Water Partition Coefficients by Order Preserving Mappings. Croatica Chemica Acta 86:509-517.
  2. Brüggemann, R., H.-J. Mucha, and H.-G. Bartel. 2013. Ranking of Polluted Regions in South West Germany Based on a Multi-indicator System. MATCH Commun.Math.Comput.Chem. 69:433-462.
  3. Carlsen, L., R. Brüggemann, and Y. Sailaukhanuly. 2013. Application of selected partial order tools to analyze fate and toxicity indicators of environmentally hazarduous chemicals. Ecol.Indicators 29:191-202.
  4. Carlsen, L. and R. Brüggemann. 2013. Partial order methodology: a valuable tool in chemometrics. J.of Chemometrics DOI: 10.1002/cem. 2569.
  5. Fattore, M. and R. Grassi. 2013. Measuring dynamics and structural change of time-dependent socio-economic networks. Qual.Quant.: DOI 10.1007/s11135-013-9861-1.
  6. Myers, W. L. and G. P. Patil. 2013. Coordination of Contrariety and Ambiguity in Comparative Compositional Contexts. Balance of Normalized Definitive Status in Multi-indicator Systems. Pages 167-196 in R. Bruggemann, L. Carlsen, and J. Wittmann, eds. Multi-Indicator Systems and Modelling in Partial Order. Springer, New York.
  7. Quintero, N. Y., G. Restrepo, and M. Cohen. 2013. Relating ß+ radionuclides' properties by order theory. J.Radioanal.Nucl.Chem. DOI 10.1007/s10967-013-2685-6. Sailaukhanuly, Y., A. Zhakupbekova, F. Amutova, and L. Carlsen. 2013. On the ranking of chemicals based on their PBT characteristics: Comparison of different ranking methodologies using selected POPs as an illustrative example. Chemosphere 90:112-117.
  8. Voigt, K., H. Scherb, R. Brüggemann, and K.-H. Schramm. 2013. Discrete mathematical data analysis approach: A valuable assessment method for sustainable chemistry. Stoten 454/455:149-153.
  9. Voigt, K., R. Brüggemann, H. Scherb, I. Cok, B. Mazmanci, M. A. Mazmanci, C. Turgut, and K.-H. Schramm. 2013. Evaluation of organochlorine pesticides in breast milk samples in Turkey applying features of the partial order technique. Int.J.of Research 23:226-246.
  10. Wieland, R. and R. Brüggemann. 2013. Hasse Diagram Technique and Monte Carlo Simulations. MATCH Commun.Math.Comput.Chem. 70:45-59.