  A statistical model of discrete finite length random processes with negative
power law spectral densities is presented. The definition of terms is followed
by a description of the spectral density trend. An algorithmic construction of
random process, and a short block of computer code is given to implement the
construction of the random process. The relationship between the second order
properties of the random processes and the parameters of the construction is
developed and demonstrated. The paper ends with a demonstration of the
connection between the frequency of the random process sign changes and the
power law exponent.
