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 Measurement and Probability by Manfred Mudelsee
Cover of the book Ambiguities in Intensional Contexts by Manfred Mudelsee
Cover of the book Integration and Inequality in Educational Institutions by Manfred Mudelsee
Cover of the book The Problem of Certainty in English Thought 1630–1690 by Manfred Mudelsee
Cover of the book Atlas of Skeletal Muscle Pathology by Manfred Mudelsee
Cover of the book Nano Devices and Circuit Techniques for Low-Energy Applications and Energy Harvesting by Manfred Mudelsee
Cover of the book Materia Medica for Various Cancers by Manfred Mudelsee
Cover of the book Green Chromatographic Techniques by Manfred Mudelsee
Cover of the book Revision Cognitive and Instructional Processes by Manfred Mudelsee
Cover of the book Anthropology and Aging by Manfred Mudelsee
Cover of the book In the Presence of the Past by Manfred Mudelsee
Cover of the book The Essential Tension by Manfred Mudelsee
Cover of the book Batch Chemical Process Integration by Manfred Mudelsee
Cover of the book Hermeneutics and the Natural Sciences by Manfred Mudelsee
Cover of the book Action, Ability and Health 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