What is it about?
The helmert transformation is explored in depth both using a contrast approach and a matrix approach exploring extensions.
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Why is it important?
Helmert transformations are ubiquitous in experimental design and go back to the 19th century. This extension yields the Helmert transformation as a particular case.
Perspectives
I was approached by Reza Farhadian with the general transformation in the current paper. I was able to elucidate the matrix approach to this transformation and comment on its application in experimental design.
Dr Brenton R. Clarke
Murdoch University
Read the Original
This page is a summary of: A note on the Helmert transformation, Communication in Statistics- Theory and Methods, November 2020, Taylor & Francis,
DOI: 10.1080/03610926.2020.1836223.
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