The logarithmic transformation is often useful for series that must be greater than zero and that grow exponentially. For example, Figure 2.21 shows a plot of an airline passenger miles series. Notice ...

IN a recent communication, Dr. H. V. Musham 1 directs attention to the fact that a logarithmic transformation of a variable may not only make the distribution more normal but will often stabilize ...

The most common transformations are available in the Edit:Variables menu. For example, log transformations are commonly used to linearize relationships, stabilize variances, or reduce skewness.

a log-transformation of counts has the additional quandary in how to deal with zero observations. With just one zero observation (if this observation represents a sampling unit), the whole dataset ...