Author: Ondřej Zeman,
Photo Michal Klajban / CC BY
Author: Zunicka

Due to the Covid-19 epidemic we would like to announce that International Conference on Trends and Perspectives in Linear Statistical Inference, LinStat'2020, is postponed and will take place one year later from June 28 to July 2, 2021.

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Design and Analysis of Experiments Special Session

Organized by: Rosemary Bailey

Experiments are planned with the aim of making good use of resources to obtain answers to questions of interest: for example, which variety of wheat will give us the most bread, or which drug will best alleviate a medical condition. Thus design is inseparable from the proposed method of data analysis. Design questions include: how should we recruit participants into an observational study? If our treatment factors are quantitative, with larger quantities being more costly, which quantities should we test? If we have very many treatment factors but cannot test all combinations of their levels, which combinations should we include? How should we block, in order to be aware of inherent differences? Analysis questions include: How can interaction be distinguished from noise? How does the design affect the data analysis?

Invited speakers:

  • Aylin Çakiroğlu (UK)
  • Johannes Forkman (Sweden)
  • Agnieszka Łacka (Poland)
    On a new approach to the ANOVA for experiments with orthogonal block structure. Experiments in row-column designs
  • Rakhi Singh (USA)
  • Oleg Volkov (UK)

Contributed speakers:

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