Climate Time Series Analysis: Classical Statistical and Bootstrap Methods 2010 ed. [Kõva köide]

  • Formaat: Hardback, 508 pages, kõrgus x laius x paksus: 234x156x28 mm, kaal: 1960 g, 47 black & white tables, biography
  • Sari: Atmospheric and Oceanographic Sciences Library 42
  • Ilmumisaeg: 01-Sep-2010
  • Kirjastus: Springer
  • ISBN-10: 9048194814
  • ISBN-13: 9789048194810
Teised raamatud teemal:
  • Kõva köide
  • Hind: 231,58 EUR
  • Lisa soovinimekirja
  • Lisa ostukorvi
  • Kogus:
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Raamatut on võimalik tellida. Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat.
  • Raamatukogudele
    • EBL
  • Formaat: Hardback, 508 pages, kõrgus x laius x paksus: 234x156x28 mm, kaal: 1960 g, 47 black & white tables, biography
  • Sari: Atmospheric and Oceanographic Sciences Library 42
  • Ilmumisaeg: 01-Sep-2010
  • Kirjastus: Springer
  • ISBN-10: 9048194814
  • ISBN-13: 9789048194810
Teised raamatud teemal:

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.



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.

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.
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.

Tellige see raamat tutvumiseks TÜ Raamatupoodi!Raekoja plats 11, 51004 Tartu

Juhul, kui teie arvates võiks see raamat olla müügis ka Tartu Ülikooli Raamatupoes või soovite lihtsalt raamatuga enne ostu tutvuda, siis palun sisestaga allpool oma nimi ning e-mail. Võimaluse korral tellime raamatu poodi ning teavitame ka teid, kui raamat on müügile jõudnud.

* - väljad on kohustuslikud