We study two statistical models for short-length categorical (or ordinal)
time series. The first one is a regression model based on generalized linear
model. The second one is a parametrized Markovian model, particularizing the
discrete autoregressive model to the case of categorical data. These models are
used to analyze two data-sets: annual larch cone production and weekly
planktonic abundance.Comment: 18 page