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Statistical Analysis of Climate Series: Analyzing, Plotting, Modeling, and Predicting with Rby Helmut Pruscha
Synopses & Reviews
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.
This 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.
About the Author
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
Climate series.- Trend and Season.- Correlation: From Yearly to Daily Data.- Model and Prediction: Yearly Data.- Model and Prediction: Monthly Data.- Analysis of Daily Data.- Spectral Analysis.- Complements.- Appendices: A: Excerpt from Climate Data Sets.- B: Some Aspects of Time Series.- C:Categorical Data Analysis-
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