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Models for Dependent Time Series

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Title: Models for Dependent Time Series
Description: Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect
Authors: Granville Tunnicliffe Wilson, Marco Reale, John Haywood
Resource Type: eBook.
Subjects: Time-series analysis, Autoregression (Statistics), Mathematical statistics
Categories: MATHEMATICS / Probability & Statistics / Time Series, MATHEMATICS / Probability & Statistics / Multivariate Analysis, MATHEMATICS / Probability & Statistics / Stochastic Processes
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1028901
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
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  Data: Models for Dependent Time Series
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  Data: Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect
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  Data: <searchLink fieldCode="AR" term="%22Granville+Tunnicliffe+Wilson%22">Granville Tunnicliffe Wilson</searchLink><br /><searchLink fieldCode="AR" term="%22Marco+Reale%22">Marco Reale</searchLink><br /><searchLink fieldCode="AR" term="%22John+Haywood%22">John Haywood</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Time-series+analysis%22">Time-series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Autoregression+%28Statistics%29%22">Autoregression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics%22">Mathematical statistics</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.55
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Time-series analysis
        Type: general
      – SubjectFull: Autoregression (Statistics)
        Type: general
      – SubjectFull: Mathematical statistics
        Type: general
    Titles:
      – TitleFull: Models for Dependent Time Series
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Granville Tunnicliffe Wilson
      – PersonEntity:
          Name:
            NameFull: Marco Reale
      – PersonEntity:
          Name:
            NameFull: John Haywood
      – PersonEntity:
          Name:
            NameFull: Granville Tunnicliffe Wilson
      – PersonEntity:
          Name:
            NameFull: Marco Reale
      – PersonEntity:
          Name:
            NameFull: John Haywood
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 06
              M: 08
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9781584886501
            – Type: isbn-print
              Value: 9780367570521
            – Type: isbn-print
              Value: 9780367241018
            – Type: isbn-electronic
              Value: 9781420011500
            – Type: isbn-electronic
              Value: 9780429144400
            – Type: isbn-electronic
              Value: 9781040208427
          Numbering:
            – Type: volume
              Value: 00142
          Titles:
            – TitleFull: Models for Dependent Time Series
              Type: main
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