leastMiller
LeastMiller is a movement in statistics and data analysis that focuses on performing hypothesis testing using minimal assumptions about the data. The core idea behind LeastMiller is to test hypotheses by assessing the minimal amount of information necessary to reject the null hypothesis.
The term 'LeastMiller' was first introduced in 2001 by a group of researchers who aimed to explore
The LeastMiller approach, on the other hand, uses alternative methods such as the randomization test and the
LeastMiller has been applied in various fields, including biology, medicine, and social sciences. Researchers have found
Some of the advantages of LeastMiller include increased robustness against outliers and non-normality, as well as
Overall, LeastMiller is an approach to hypothesis testing that focuses on minimal assumptions and robustness against