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A comparison of statistical models for short categorical or ordinal time series with applications in ecology

Noëlle Bru·Laurence Despres·Christian Paroissin
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Abstract

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.

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Noëlle Bru, Laurence Despres, Christian Paroissin. 2007-02-23. A comparison of statistical models for short categorical or ordinal time series with applications in ecology. https://arxiv.org/abs/math/0702706

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