Time Series Modelling with Unobserved Components

Matteo M. Pelagatti

ISBN 10: 1032098430 / ISBN 13: 9781032098432

Edité par Chapman And Hall/CRC Jun 2021, 2021

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved Components rectifies this deficiency by giving a practical overview of the UCM approach, covering some theoretical details, several applications, and the software for implementing UCMs.The book's first part discusses introductory time series and prediction theory. Unlike most other books on time series, this text includes a chapter on prediction at the beginning because the problem of predicting is not limited to the field of time series analysis.The second part introduces the UCM, the state space form, and related algorithms. It also provides practical modeling strategies to build and select the UCM that best fits the needs of time series analysts.The third part presents real-world applications, with a chapter focusing on business cycle analysis and the construction of band-pass filters using UCMs. The book also reviews software packages that offer ready-to-use procedures for UCMs as well as systems popular among statisticians and econometricians that allow general estimation of models in state space form.This book demonstrates the numerous benefits of using UCMs to model time series data. UCMs are simple to specify, their results are easy to visualize and communicate to non-specialists, and their forecasting performance is competitive. Moreover, various types of outliers can easily be identified, missing values are effortlessly managed, and working contemporaneously with time series observed at different frequencies poses no problem. 276 pp. Englisch.

N° de réf. du vendeur 9781032098432

Détails bibliographiques

• Titre: Time Series Modelling with Unobserved Components
• Éditeur: Chapman And Hall/CRC Jun 2021
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1032098430
• ISBN à 13 chiffres: 9781032098432
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 234 L x 156 H x 15 P (en millimètres) 234 millimètres de largeur par 156 millimètres de hauteur par 15 millimètres de profondeur
• Poids: 424 grammes

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Synopsis

This work focuses on the unobserved components model (UCM) approach rather than general state space modeling. It provides enough theory so that readers understand the underlying mechanisms while keeping the mathematical rigor to a minimum.

À propos de l?auteur

Matteo M. Pelagatti