Abstract
In many statistical experiments, observations from one or more plots, possibly, are not reported, due to human or other nonassignable errors. In such instances, there is a need to find a substitution for a missing observation. It may be noted that if the observations in an experiment employing standard designs are missing, then the readily available analyses are not applicable to such data.
The best thing about being a statistician is that you get to play in everyone’s backyard
– J.W. Tukey
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Madhyastha, N.R.M., Ravi, S., Praveena, A.S. (2020). Missing Plot Technique. In: A First Course in Linear Models and Design of Experiments. Springer, Singapore. https://doi.org/10.1007/978-981-15-8659-0_7
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DOI: https://doi.org/10.1007/978-981-15-8659-0_7
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