Climate time series analysis : Classical statistical and bootstrap methods / Manfred Mudelsee
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9783319044491
- 23 551.601 MUD
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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CUTN Central Library Sciences | Non-fiction | 551.601 MUD (Browse shelf(Opens below)) | Available | 47222 |
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.
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