Robustizing Mixture Analysis Using Model Weighting

  • Michael P. Windham
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This paper presents two methods for modifying a statistical estimation or model fitting procedure. The first shows how to extend the procedure to mixture distributions. The second shows how to make the procedure more robust using weighting. The two modifications are then combined to produce robust methods for mixture analysis.


Mixture Distribution Model Family Mixture Analysis Normal Mixture Asymptotic Efficiency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • Michael P. Windham
    • 1
  1. 1.Mathematics and StatisticsUtah State UniversityLoganUSA

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