Climate time series analysis : classical statistical and bootstrap methods / Manfred Mudelsee.
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 c...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Dordrecht ; New York :
Springer,
[2010]
|
| Series: | Atmospheric and oceanographic sciences library ;
v. 42. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 online resource (xxxiv, 474 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9048194814 9789048194810 |