In this paper, we propose a new transformation of circular random variables based on circular distribution functions, which we shall call inverse distribution function (idf) transformation. We show ...

The TRANSFORM statement lists the variables to be analyzed (variables) and specifies the transformation (transform) to apply to each variable listed. You must specify a transformation for each ...

Roberts and Geisser, Roberts, and Block have discussed characterizations of random variables certain functions of which have a prescribed distribution. Their results are simplified, unified, and ...

Explain what a non-linear transformation is and identify the log transformation as a type of non-linear transformation. Explain what can be achieved with a log transformation and identify situations ...

The three methods of variable transformation provided by PROC PRINQUAL are discussed in the following sections. On each iteration, the MTV algorithm alternates classical principal component analysis ...