Regression with qualitative variables is different from analysis of variance and analysis of covariance. Analysis of variance uses qualitative independent variables only. Analysis of covariance uses ...

In longitudinal data analysis, a correct specification of the within-subject covariance matrix cultivates an efficient estimation for mean regression coefficients. In this article, we consider robust ...

Statistical analysis of the ratio of two variables from normal populations is very common in biology and agriculture. The inverse sine transformation which is applied to binomial proportions to make ...

suppresses the reporting of univariate statistics computes additional percentiles for two variables creates an output data set with descriptive statistics and percentiles prints the output data set.

Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to explore high-dimensional data?