Goodness of Fit of a Markov Chain Model for Sequences of Wet and Dry Days

Abstract

Evidence from locations in the north central region of the United States indicates that a rainy spell is more likely to terminate after at least two wet days than after one wet day during early spring. However, the departure from a first-order Markov chain model has only minor effects when estimating probabilities of specified sequences of wet and dry days.