Time series modeling and decomposition

Time series modeling and decomposition

The paper provides an overview of techniques and methods in time series modeling and decomposition with focus on the business cycle, models for seasonality, the moving holiday component, the trading-day component and the irregular component.

Bibliographic Details
Main Author: Estela Bee Dagum
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3597
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spelling doaj-bf812e1bc09146d9bba225a3d7c5ae162020-11-24T22:57:09ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-0170443345710.6092/issn.1973-2201/35973343Time series modeling and decompositionEstela Bee Dagum0Alma Mater Studiorum - Università di BolognaThe paper provides an overview of techniques and methods in time series modeling and decomposition with focus on the business cycle, models for seasonality, the moving holiday component, the trading-day component and the irregular component.http://rivista-statistica.unibo.it/article/view/3597
collection DOAJ
language English
format Article
sources DOAJ
author Estela Bee Dagum
spellingShingle Estela Bee Dagum
Time series modeling and decomposition
Statistica
author_facet Estela Bee Dagum
author_sort Estela Bee Dagum
title Time series modeling and decomposition
title_short Time series modeling and decomposition
title_full Time series modeling and decomposition
title_fullStr Time series modeling and decomposition
title_full_unstemmed Time series modeling and decomposition
title_sort time series modeling and decomposition
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2013-05-01
description The paper provides an overview of techniques and methods in time series modeling and decomposition with focus on the business cycle, models for seasonality, the moving holiday component, the trading-day component and the irregular component.
url http://rivista-statistica.unibo.it/article/view/3597
work_keys_str_mv AT estelabeedagum timeseriesmodelinganddecomposition
_version_ 1725651626898751488

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