Split plots in a Latin square: statistical models and formulas without and with subsampling
DOI:
https://doi.org/10.29312/remexca.v16i2.3926Keywords:
least squares, quadratic or matrix forms, two-factor experimentsAbstract
Little information has been published for a split-plot arrangement for a Latin square design. This research builds statistical models and the formulas that allow obtaining degrees of freedom and sum of squares considering the methodologies of least squares and quadratic or matrix forms, without and with balanced subsampling. It is assumed that there is no interaction between rows, columns and factor A; however, it is indicated how to arrive at the same results by introducing the principle of crossing and nesting, particularly if InfoStat or InfoGen will be applied, it is suggested to use the main difference between the outputs generated by both statistical packages to subdivide the joint error into sampling error and experimental error; nevertheless, emphasis is also placed on the formulas that were derived for their direct calculation.
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