000			03562nam a22004575i 4500
001			u378017
003			SIRSI
005			20160812084532.0
007			cr nn 008mamaa
008			100907s2010 ne | s |||| 0|eng d
020			_a9789048194827 _9978-90-481-9482-7
040			_cMX-MeUAM
050		4	_aQC902.8-903.2
082	0	4	_a577.27 _223
100	1		_aMudelsee, Manfred. _eauthor.
245	1	0	_aClimate Time Series Analysis _h[recurso electrónico] : _bClassical Statistical and Bootstrap Methods / _cby Manfred Mudelsee.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2010.
300			_aXXXIV, 474 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAtmospheric and Oceanographic Sciences Library, _x1383-8601 ; _v42
505	0		_aFundamental Concepts -- Persistence Models -- Bootstrap Confidence Intervals -- Univariate Time Series -- Regression I -- Spectral Analysis -- Extreme Value Time Series -- Bivariate Time Series -- Correlation -- Regression II -- Outlook -- 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. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers. Manfred Mudelsee received his diploma in Physics from the University of Heidelberg and his doctoral degree in Geology from the University of Kiel. He was then postdoc in Statistics at the University of Kent at Canterbury, research scientist in Meteorology at the University of Leipzig and visiting scholar in Earth Sciences at Boston University; currently he does climate research at the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven. His science focuses on climate extremes, time series analysis and mathematical simulation methods. He has authored over 50 peer-reviewed articles. In his 2003 Nature paper, Mudelsee introduced the bootstrap method to flood risk analysis. In 2005, he founded the company Climate Risk Analysis.
650		0	_aEnvironmental sciences.
650		0	_aMathematical statistics.
650		0	_aClimatic changes.
650	1	4	_aEnvironment.
650	2	4	_aClimate Change.
650	2	4	_aMeteorology.
650	2	4	_aStatistical Theory and Methods.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789048194810
830		0	_aAtmospheric and Oceanographic Sciences Library, _x1383-8601 ; _v42
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-90-481-9482-7
596			_a19
942			_cLIBRO_ELEC
999			_c205897 _d205897