Mudelsee Climate Time Series Analysis
1. Auflage 2010
ISBN: 978-90-481-9482-7
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Classical Statistical and Bootstrap Methods
E-Book, Englisch, 474 Seiten
Reihe: Atmospheric and Oceanographic Sciences Library
ISBN: 978-90-481-9482-7
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation.
This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Fundamental Concepts.- Persistence Models.- Bootstrap Confidence Intervals.- Univariate Time Series.- Regression I.- Spectral Analysis.- Extreme Value Time Series.- Bivariate Time Series.- Correlation.- Regression II.- Outlook.- Future Directions.