Basic Data Analysis for Time Series with R

Basic Data Analysis for Time Series with R Front Cover
1 Reviews
320 pages

Book Description

Written at a readily accessible level, Basic for Time Series with R emphasizes the importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent and systematic regression-based approach to model selection.  The book illustrates these of model selection and model building through the use of criteria, cross validation, hypothesis tests, and confidence intervals.

Focusing on frequency- and time-domain and trigonometric regression as the primary themes, the book also includes modern topical coverage on Fourier series and Akaike's Information Criterion (AIC). In addition, Basic Data Analysis for Time Series with R also features:

  • Real-world examples to provide readers with practical hands-on experience
  • Multiple R subroutines employed with graphical displays
  • Numerous exercise sets intended to support readers understanding of the core concepts
  • Specific chapters devoted to the analysis of the Wolf sunspot number data and the Vostok ice sets

Book Details

  • Title: Basic Data Analysis for Time Series with R
  • Author:
  • Length: 320 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2014-07-08
  • ISBN-10: 1118422546
  • ISBN-13: 9781118422540
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