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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Semantic concept schema of the linear mixed model of experimental observations
Hanna Ćwiek-Kupczyńska1, Katarzyna Filipiak2, Augustyn Markiewicz3
1Institute of Plant Genetics, Polish Academy of Sciences, ul. Strzeszyńska 34, 60-479, Poznań, Poland.
None:
In the information age, smart data modelling and data management can be carried out to address the wealth of data produced in scientific experiments. In this paper, we propose a semantic model for the statistical analysis of datasets by linear mixed models. We tie together disparate statistical concepts in an interdisciplinary context through the application of ontologies, in particular the Statistics Ontology (STATO), to produce FAIR data summaries. We hope to improve the general understanding of statistical modelling and thus contribute to a better description of the statistical conclusions from data analysis, allowing their efficient exploration and automated processing.
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