000			01536nam a22002297a 4500
003			CUTN
005			20230801114253.0
008			230801b |||||||| |||| 00| 0 eng d
020			_a9783319044491
041			_aEnglish
082			_223 _a551.601 _bMUD
100			_aMudelsee, Manfred
245			_aClimate time series analysis : _bClassical statistical and bootstrap methods / _cManfred Mudelsee
250			_a2nd ed.
260			_aDordrecht : _bSpringer, _c2014.
300			_axxxiv, 474 p.: _bill.; _c15.6 x 2.69 x 23.39 cm.
505			_aPart I Fundamental Concepts 1. Introduction; 2. Persistence Models; 3. Bootstrap Confidence Intervals; _tPart II Univariate Time Series; 4. Regression I; 5. Spectral Analysis; 6. Extreme Value Time Series; _tPart III Bivariate Time Series; 7. Correlation; 8. Regression II; _tPart IV Outlook; 9. Future Directions
520			_aClimate 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.
650			_aClimatology Statistical methods
650			_aEnvironnement
942			_2ddc _cBOOKS
999			_c39500 _d39500