Abstract
A non-linear stationary stochastic process {Xt} is derived and shown to have the property that both the processes {Xt} and {logXt} have the same correlation structure, viz. the Markov or first-order autoregressive correlation structure. The generation of such processes is discussed briefly and a characterization of the gamma distribution is obtained.

This publication has 9 references indexed in Scilit: