Climate time series analysis : Classical statistical and bootstrap methods /

Mudelsee, Manfred

Climate time series analysis : Classical statistical and bootstrap methods / Manfred Mudelsee - 2nd ed. - Dordrecht : Springer, 2014. - xxxiv, 474 p.: ill.; 15.6 x 2.69 x 23.39 cm.

Part I Fundamental Concepts
1. Introduction;
2. Persistence Models;
3. Bootstrap Confidence Intervals; Part II Univariate Time Series;
4. Regression I;
5. Spectral Analysis;
6. Extreme Value Time Series;
Part III Bivariate Time Series;
7. Correlation;
8. Regression II;
Part IV Outlook;
9. Future Directions

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.

9783319044491


Climatology Statistical methods
Environnement

551.601 / MUD

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