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Climate Time Series Analysis Classical Statistical and Bootstrap Methods /
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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edición: | 2nd ed. 2014. |
| Colección: | Atmospheric and Oceanographic Sciences Library,
51 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.