Box's M test
Box's M test is a multivariate statistical test used to check the equality of multiple
MANOVA and linear discriminant analysis. It is named after George E. P. Box, who first discussed the test in 1949. The test uses a chi-squared
approximation.
Box's M test is susceptible to errors if the data does not meet model assumptions or if the sample size is too large or small.multivariate normality.[3]
See also
References
- .
- ISBN 978-1-4129-9134-6.
- ISBN 978-1-58488-414-9.
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |