A comparison of statistical models for short categorical or ordinal time series with applications in ecology
Statistics Theory
2016-08-14 v1 Statistics Theory
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.
Keywords
Cite
@article{arxiv.math/0702706,
title = {A comparison of statistical models for short categorical or ordinal time series with applications in ecology},
author = {Noëlle Bru and Laurence Despres and Christian Paroissin},
journal= {arXiv preprint arXiv:math/0702706},
year = {2016}
}
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18 pages