During the past twenty years there has been a growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, the literature has recognized the possibility of nonnormality of yields and prices. This study demonstrates one approach to modeling nonnormality in crop yields over time. Specifically, this study estimates an inverse hyperbolic sine transformation of crop yields in the southeastern United States.