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Dewayne R. Derryberry - Basic Data Analysis for Time Series with R - 9781118422540 - V9781118422540
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Basic Data Analysis for Time Series with R

€ 130.52
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Description for Basic Data Analysis for Time Series with R Hardcover. Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Num Pages: 320 pages, illustrations. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 162 x 243 x 24. Weight in Grams: 658.

Presents modern methods to analyzing data with multiple applications in a variety of scientific fields

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical 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 principles of model selection and model building through the use of information criteria, cross validation, hypothesis tests, and confidence intervals.

Focusing on frequency- ... Read more

  • Real-world examples to provide readers with practical hands-on experience
  • Multiple R software 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 core data sets
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Product Details

Format
Hardback
Publication date
2014
Publisher
Wiley
Condition
New
Number of Pages
320
Place of Publication
New York, United States
ISBN
9781118422540
SKU
V9781118422540
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Dewayne R. Derryberry
DeWayne R. Derryberry, PhD, is Associate Professor in the Department of Mathematics and Statistics at Idaho State University. Dr. Derryberry has published more than a dozen journal articles and his research interests include meta-analysis, discriminant analysis with messy data, time series analysis of the relationship between several cancers, and geographically-weighted regression.

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