Climate Time Series Analysis

Classical Statistical and Bootstrap Methods

Nonfiction, Science & Nature, Science, Other Sciences, Meteorology, Biological Sciences, Environmental Science, Nature
Cover of the book Climate Time Series Analysis by Manfred Mudelsee, Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Manfred Mudelsee ISBN: 9789048194827
Publisher: Springer Netherlands Publication: August 26, 2010
Imprint: Springer Language: English
Author: Manfred Mudelsee
ISBN: 9789048194827
Publisher: Springer Netherlands
Publication: August 26, 2010
Imprint: Springer
Language: English

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.

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

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.

More books from Springer Netherlands

Cover of the book Treatise on Basic Philosophy by Manfred Mudelsee
Cover of the book The Neglected Canon: Nine Women Philosophers by Manfred Mudelsee
Cover of the book Tumors of the Central Nervous System, Volume 10 by Manfred Mudelsee
Cover of the book Encyclopedia of Language and Education by Manfred Mudelsee
Cover of the book Citizenship and Democracy in Further and Adult Education by Manfred Mudelsee
Cover of the book Cultural and Social Diversity and the Transition from Education to Work by Manfred Mudelsee
Cover of the book Evaluation in Decision Making by Manfred Mudelsee
Cover of the book Heat Shock Proteins and Whole Body Adaptation to Extreme Environments by Manfred Mudelsee
Cover of the book An Anthropological Journey into Well-Being by Manfred Mudelsee
Cover of the book Bayesian Analysis and Uncertainty in Economic Theory by Manfred Mudelsee
Cover of the book Heat Transfers and Related Effects in Supercritical Fluids by Manfred Mudelsee
Cover of the book Defence Against Bioterrorism by Manfred Mudelsee
Cover of the book Application of Computational Techniques in Pharmacy and Medicine by Manfred Mudelsee
Cover of the book Philosophy of Technology by Manfred Mudelsee
Cover of the book Closing the Achievement Gap from an International Perspective by Manfred Mudelsee
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