Basic Data Analysis for Time Series with R

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Basic Data Analysis for Time Series with R by DeWayne R. Derryberry, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: DeWayne R. Derryberry ISBN: 9781118593363
Publisher: Wiley Publication: June 23, 2014
Imprint: Wiley Language: English
Author: DeWayne R. Derryberry
ISBN: 9781118593363
Publisher: Wiley
Publication: June 23, 2014
Imprint: Wiley
Language: English

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- 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 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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- 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:

More books from Wiley

Cover of the book Business Dashboards by DeWayne R. Derryberry
Cover of the book Lean For Dummies by DeWayne R. Derryberry
Cover of the book Liquid Surveillance by DeWayne R. Derryberry
Cover of the book The Nature of the Mechanical Bond by DeWayne R. Derryberry
Cover of the book Emergency Nursing at a Glance by DeWayne R. Derryberry
Cover of the book Surfaces and Interfaces of Biomimetic Superhydrophobic Materials by DeWayne R. Derryberry
Cover of the book Erfolgreiche Geldanlage für Dummies by DeWayne R. Derryberry
Cover of the book Our Psychiatric Future by DeWayne R. Derryberry
Cover of the book Charting Made Easy by DeWayne R. Derryberry
Cover of the book Nursing Law and Ethics by DeWayne R. Derryberry
Cover of the book The 800-Pound Gorilla of Sales by DeWayne R. Derryberry
Cover of the book Orthodontic Treatment of Impacted Teeth by DeWayne R. Derryberry
Cover of the book Food and Industrial Bioproducts and Bioprocessing by DeWayne R. Derryberry
Cover of the book Think Smarter by DeWayne R. Derryberry
Cover of the book "Radical Academia"? Understanding the Climates for Campus Activists by DeWayne R. Derryberry
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy