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

2007/02/23 by Noëlle Bru, Laurence Després, Bru, Noëlle +3
Environmental Science · Agricultural and Biological Sciences · #Animal Ecology and Behavior Studies #Plant and animal studies #Ecology and Vegetation Dynamics Studies

paper · pdf · doi:10.48550/arxiv.math/0702706

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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