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Long-Memory Processes Probabilistic Properties and Statistical Methods

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.05.2013

Abbildungen

XVII, 884 p. 89 illus., 60 illus. in color.

Verlag

Springer Berlin

Seitenzahl

884

Maße (L/B/H)

24,1/16/5,3 cm

Gewicht

1502 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-35511-0

Beschreibung

Rezension

From the book reviews:

“This encyclopaedic book covers almost the whole literature on univariate and multivariate long-range dependent (LRD) processes, or long-memory processes or strongly dependent processes. … This volume is then of strong interest for both researchers and teachers familiar with the topic, as it gives an overall, structured and balanced picture of the current state of the art. Readers less familiar with the topic will easily find their way in the vast literature on this issue, and will have their curiosity satisfied.” (Gilles Teyssière, Mathematical Reviews, October, 2014)

“This book aims to cover probabilistic and statistical aspects of long-memory processes in as much detail as possible, including a broad range of topics. The authors did an excellent job to reach their goals, and the book would be a must for researchers interested in long-memory processes and practioners on time series and data analysis. … the book is an excellent choice for anyone whois working in fields related to long-memory processes with many update information and research topics.” (Weiping Li, zbMATH, Vol. 1282, 2014)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.05.2013

Abbildungen

XVII, 884 p. 89 illus., 60 illus. in color.

Verlag

Springer Berlin

Seitenzahl

884

Maße (L/B/H)

24,1/16/5,3 cm

Gewicht

1502 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-35511-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Long-Memory Processes
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  • Definition of Long Memory.- Origins and Generation of Long Memory.- Mathematical Concepts.- Limit Theorems.- Statistical Inference for Stationary Processes.- Statistical Inference for Nonlinear Processes.- Statistical Inference for Nonstationary Processes.- Forecasting.- Spatial and Space-Time Processes.- Resampling.- Function Spaces.- Regularly Varying Functions.- Vague Convergence.- Some Useful Integrals.- Notation and Abbreviations.