Climate Time Series Analysis - Mudelsee, Manfred

Manfred Mudelsee 

Climate Time Series Analysis

Classical Statistical and Bootstrap Methods

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Produktbeschreibung zu Climate Time Series Analysis

This book presents bootstrap resampling as a computationally intensive method able to meet the challenges posed by the complexities of analysing climate data. It shows how the bootstrap performs reliably in the most important statistical estimation techniques.

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.

Produktinformation

  • Verlag: Springer Netherlands
  • 2010
  • Ausstattung/Bilder: 2010. 500 S. 99 SW-Abb., 47 Tabellen 235 mm
  • Atmospheric and Oceanographic Sciences Library 42
  • Best.Nr. des Verlages: 12444755
  • Englisch
  • Abmessung: 240mm x 164mm x 40mm
  • Gewicht: 950g
  • ISBN-13: 9789048194810
  • ISBN-10: 9048194814
  • Best.Nr.: 29782780
Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statistics at the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University; currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.

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Inhaltsangabe

1. Introduction.- 2. Persistence models.- 3. Bootstrap confidence intervals.- 4. Regression.- 5. Spectral analysis.- 6. Extreme value time series.- 7. Correlation.- 8. Regression.- 9. Future directions.

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Manfred Mudelsee 

Climate Time Series Analysis

Climate Time Series Analysis - Mudelsee, Manfred

Classical Statistical and Bootstrap Methods

  • Einband: Gebunden
  • Gebundenes Buch 
 
  • Statt EUR 139,05*
    jetzt nur
  • EUR 100,95
  • Sie sparen 27 %
  • Alle Preise inkl. MwSt.
  • 101 Webmiles sammeln
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Produktinformation
  • Verlag: Springer Netherlands
  • 2010
  • Ausstattung/Bilder: 2010. 500 S. 99 SW-Abb., 47 Tabellen 235 mm
  • Atmospheric and Oceanographic Sciences Library 42
  • Best.Nr. des Verlages: 12444755
  • Englisch
  • Abmessung: 240mm x 164mm x 40mm
  • Gewicht: 950g
  • ISBN-13: 9789048194810
  • ISBN-10: 9048194814
  • Best.Nr.: 29782780

Leseprobe zu "Climate Time Series Analysis"

Bitte klicken Sie auf die Navigation oder das Artikelbild, um in "Climate Time Series Analysis" von "Mudelsee, Manfred" zu blättern!

Produktbeschreibung zu "Climate Time Series Analysis"

Kurzbeschreibung

This book presents bootstrap resampling as a computationally intensive method able to meet the challenges posed by the complexities of analysing climate data. It shows how the bootstrap performs reliably in the most important statistical estimation techniques.

Beschreibung

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.

Inhaltsangabe

1. Introduction.- 2. Persistence models.- 3. Bootstrap confidence intervals.- 4. Regression.- 5. Spectral analysis.- 6. Extreme value time series.- 7. Correlation.- 8. Regression.- 9. Future directions.

Autorenporträt zu "Manfred Mudelsee"

Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statistics at the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University; currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.

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