Box-Cox is a method of transforming non-normal data to fit normal data distributions. It doesn’t work well with negative values and also needs continuous data to succeed. The measurement phase of ...

The Box-Cox transformation is a general class of transformations that includes the logarithm as a special case. The %BOXCOXAR macro can be used to find an optimal Box-Cox transformation for a time ...

dsin names the SAS data set that contains the coded design and the original, untransformed values of the response variable. model lists the independent variables for analysis. intvllo is the bottom ...

Eradication of poverty is one of the most important Millennium Development Goals defined by the United Nations. One approach to studying this is by using small area (SA) methods. SA models combine ...