"Rerandomization" refers to the process of re-randomizing or rearranging a dataset. However, there are many different synonyms for this word that can be used in different contexts. For example, "reshuffling" suggests a similar process of rearrangement, while "reordering" connotes a more specific manipulation of the sequence of data points. Similarly, "reassignment" may be used to describe a similar process of redistributing data, while "reselection" suggests a more selective process of choosing certain data points for inclusion or exclusion. Overall, there are many different ways to describe the process of rerandomization, depending on the specific context and goals of the data analysis.