An Autoregressive Process for Beta Random Variables

Two stationary first-order autoregressive processes with Beta marginal distributions are presented. They are both linear, additive processes but the coefficients are Beta random variables. Their autocorrelation functions are investigated: one is positive and the other alternates in sign. The usefulness of the models in simulation is discussed. The Bivariate Beta distributions of two consecutive observations are considered in some detail. Several examples are given, including a Bivariate Uniform process which is also examined in detail. The relationship of these Bivariate Beta distributions to the Dirichlet distribution is discussed.

• 저널Management Science · 31(8) · 988–997
• 토픽Statistical Distribution Estimation and Applications · Statistics and Probability
• DOI10.1287/mnsc.31.8.988
• 저자Ed McKenzie