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Statistical Analysis of Climate Series

Analyzing, Plotting, Modeling, and Predicting with R

Authors: Pruscha, Helmut

  • Within the context of the general climate discussion, the evaluation of climate series gains growing importance ​
  • Provides application of statistical methods to climatological data Techniques for treating series records
  • Applying among others ARIMA and GARCH model Programs in R and data sets on climate series are provided at the author's homepage        
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eBook $84.99
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  • ISBN 978-3-642-32084-2
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  • ISBN 978-3-642-32083-5
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  • ISBN 978-3-642-43087-9
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About this book

The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed.

The methodical tools are taken from time series analysis, from periodogram and wavelet analysis, from correlation and principal component analysis, and from categorical data and event-time analysis.

The applied models are - among others - the ARIMA and GARCH model, and inhomogeneous Poisson processes.

Further, we deal with a number of special statistical topics, e.g. the problem of trend-, season- and autocorrelation-adjustment, and with simultaneous statistical inference.

Programs in R and data sets on climate series, provided at the author’s homepage, enable readers (statisticians, meteorologists, other natural scientists) to perform their own exercises and discover their own applications.

About the authors

Helmut Pruscha, Professor for Mathematics, has served as Academic Director at the University of Munich’s Institute of Mathematics. Before doing so, he had worked for many years as a statistician at a Max-Planck-Institute for neurobiology. His research interests include topics concerning applied statistics and mathematical statistics, especially categorical time series and point processes. He has published several textbooks in German.

Table of contents (8 chapters)

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-642-32084-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-642-32083-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-3-642-43087-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Analysis of Climate Series
Book Subtitle
Analyzing, Plotting, Modeling, and Predicting with R
Authors
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-32084-2
DOI
10.1007/978-3-642-32084-2
Hardcover ISBN
978-3-642-32083-5
Softcover ISBN
978-3-642-43087-9
Edition Number
1
Number of Pages
VIII, 176
Topics