Time Series Analysis in the Social Sciences : The Fundamentals

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Title: Time Series Analysis in the Social Sciences : The Fundamentals
Description: Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and residuals, to the evaluation and prediction of estimated models. The book also explains smoothing, multiple time series analysis, and interrupted time series analysis. With a wealth of practical advice and supplemental data sets wherein students can apply their knowledge, this flexible and friendly primer is suitable for all students in the social sciences.
Authors: Youseop Shin
Resource Type: eBook.
Subjects: Time-series analysis, Social sciences--Statistical methods
Categories: SOCIAL SCIENCE / Criminology, SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1422632
RelevancyScore: 1077
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1077.00524902344
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  Data: Time Series Analysis in the Social Sciences : The Fundamentals
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and residuals, to the evaluation and prediction of estimated models. The book also explains smoothing, multiple time series analysis, and interrupted time series analysis. With a wealth of practical advice and supplemental data sets wherein students can apply their knowledge, this flexible and friendly primer is suitable for all students in the social sciences.
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  Data: <searchLink fieldCode="AR" term="%22Youseop+Shin%22">Youseop Shin</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Time-series+analysis%22">Time-series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Social+sciences--Statistical+methods%22">Social sciences--Statistical methods</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Criminology%22">SOCIAL SCIENCE / Criminology</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Research%22">SOCIAL SCIENCE / Research</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Statistics%22">SOCIAL SCIENCE / 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: Social sciences--Statistical methods
        Type: general
    Titles:
      – TitleFull: Time Series Analysis in the Social Sciences : The Fundamentals
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Youseop Shin
      – PersonEntity:
          Name:
            NameFull: Youseop Shin
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 31
              M: 01
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9780520293168
            – Type: isbn-print
              Value: 9780520293175
            – Type: isbn-electronic
              Value: 9780520966383
          Titles:
            – TitleFull: Time Series Analysis in the Social Sciences : The Fundamentals
              Type: main
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