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Basic Data Analysis for Time Series with R

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Basic Data Analysis for Time Series with R
DeWayne R. Derryberry

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Written at a readily accessible level, Basic Data Analysisfor Time Series with R emphasizes the mathematical importanceof collaborative analysis of data used to collect increments oftime or space. Balancing a theoretical and practical approach toanalyzing data within the context of serial correlation, the bookpresents a coherent and systematic regression-based approach tomodel selection. The book illustrates these principles ofmodel selection and model building through the use of informationcriteria, cross validation, hypothesis tests, and confidenceintervals.Focusing on frequency- and time-domain and trigonometricregression as the primary themes, the book also includes moderntopical coverage on Fourier series and Akaike's InformationCriterion (AIC). In addition, Basic Data Analysis for TimeSeries with R also features:* Real-world examples to provide readers with practical hands-onexperience* Multiple R software subroutines employed with graphicaldisplays* Numerous exercise sets intended to support readersunderstanding of the core concepts* Specific chapters devoted to the analysis of the Wolf sunspotnumber data and the Vostok ice core data sets
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  • Editie:EPUB met Adobe DRM  Meer informatie
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  • ISBN: 9781118593363
  • Auteur: DeWayne R. Derryberry
  • Uitgave: John Wiley & Sons
  • Jaar van uitgave: 2014
  • Taal: Engels
  • Bladzijden: 320
  • Artikelnummer: 61314620
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