Statistical Analysis of Climate Series

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.

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 Includes supplementary material: sn.pub/extras

Autorentext

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.

Inhalt
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- References.- Index.