A Note on the Relationship between Two Approaches to Optimal Design under Correlation

  • Andrej Pázman
  • Werner G. Müller
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


The note demonstrates the relationship between two recently developed methods for characterizing optimal designs, when the errors/observations in the experiments are correlated according to a given correlation structure. The understanding of this relationship can help to improve the applicability of the methods by providing new frameworks for their tuning parameters.


Optimal Design Information Matrix Design Measure Correlate Error Information Matrice 
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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We are grateful to two anonymous referees, whose comments helped to improve our paper, particularly our English.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Comenius UniversityBratislavaSlovakia
  2. 2.Dept. of Applied StatisticsJohannes-Kepler-UniversityLinzAustria

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