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) nonlinearityand seasonality simultaneously. The model is termed multiplicativeseasonal SETAR (SEASETAR). It can be viewed as a special … multiplicative constraints in non-multiplicative SETARmodels.These statistics form the basis of a new seasonality-test. We …
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demand for Tunisia, by presenting different techniques of detection of seasonality and the parametric and non …
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integrated models and deterministic seasonality models. As well as examining how forecasts are computed in each case, the …. Section 3 discusses less traditional models, specifically nonlinear seasonal models and models for seasonality in variance …. Such nonlinear models primarily concentrate on interactions between seasonality and the business cycle, either using a …
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values) are taken, evidence of seasonality is obtained; more specifically, deterministic seasonality is rejected in favour of …
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Infra-monthly time series have increasingly appeared on the radar of official statistics in recent years, mostly as a consequence of a general digital transformation process and the outbreak of the COVID-19 pandemic in 2020. Many of those series are seasonal and thus in need for seasonal...
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