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 Yves de Vallone: The Making of an Esprit-Fort by Manfred Mudelsee
Cover of the book Diagnosis of Mycotoxicoses by Manfred Mudelsee
Cover of the book Boreal and Temperate Trees in a Changing Climate by Manfred Mudelsee
Cover of the book Geospatial Technologies in Environmental Management by Manfred Mudelsee
Cover of the book Music Education for Changing Times by Manfred Mudelsee
Cover of the book Rodent Transplant Medicine by Manfred Mudelsee
Cover of the book Logic, Language, and Probability by Manfred Mudelsee
Cover of the book Elements of Grammar by Manfred Mudelsee
Cover of the book Single Subject Designs in Biomedicine by Manfred Mudelsee
Cover of the book Research, Action and Policy: Addressing the Gendered Impacts of Climate Change by Manfred Mudelsee
Cover of the book Copp’d Hills Towards Heaven Shakespeare and the Classical Polity by Manfred Mudelsee
Cover of the book Adsorption and Phase Behaviour in Nanochannels and Nanotubes by Manfred Mudelsee
Cover of the book Medical Education and Sociology of Medical Habitus: “It’s not about the Stethoscope!” by Manfred Mudelsee
Cover of the book The Growing Gap Between Emerging Technologies and Legal-Ethical Oversight by Manfred Mudelsee
Cover of the book The Conquest of Cancer 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