Climate time series analysis : Classical statistical and bootstrap methods / Manfred Mudelsee

By:

Mudelsee, Manfred

Material type: Text

TextLanguage: English Publication details: Dordrecht : Springer, 2014.Edition: 2nd edDescription: xxxiv, 474 p.: ill.; 15.6 x 2.69 x 23.39 cmISBN:

9783319044491

Subject(s):

DDC classification:

23 551.601 MUD

Contents:

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

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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Sciences	Non-fiction	551.601 MUD (Browse shelf(Opens below))	Available		47222

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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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