000			03047nam a22005175i 4500
001			978-3-540-30968-0
003			DE-He213
005			20161121230822.0
007			cr nn 008mamaa
008			100301s2006 gw | s |||| 0|eng d
020			_a9783540309680 _9978-3-540-30968-0
024	7		_a10.1007/3-540-30968-3 _2doi
050		4	_aQC801-809
072		7	_aPHVG _2bicssc
072		7	_aSCI032000 _2bisacsh
082	0	4	_a550 _223
082	0	4	_a526.1 _223
100	1		_aGilgen, Hans. _eauthor.
245	1	0	_aUnivariate Time Series in Geosciences _h[electronic resource] : _bTheory and Examples / _cby Hans Gilgen.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2006.
300			_aXVIII, 718 p. 220 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aStationary Stochastic Processes -- Linear Models for the Expectation Function -- Interpolation -- Linear Processes -- Fourier Transforms of Deterministic Functions -- Fourier Representation of a Stationary Stochastic Process -- Does a Periodogram Estimate a Spectrum? -- Estimators for a Continuous Spectrum -- Estimators for a Spectrum Having a Discrete Part.
520			_aThe author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems. More complex derivations are provided in appendix-like supplements to each chapter. Readers are assumed to have a basic grounding in statistics and analysis. The reader is invited to learn actively from genuine geophysical data. He has to consider the applicability of statistical methods, to propose, estimate, evaluate and compare statistical models, and to draw conclusions. The author focuses on the conceptual understanding. The example time series and the exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. This book is also a guide to using "R" for the statistical analysis of time series. "R" is a powerful environment for the statistical and graphical analysis of data."R" is available under GNU conditions.
650		0	_aEarth sciences.
650		0	_aGeophysics.
650		0	_aAtmospheric sciences.
650		0	_aComputer simulation.
650		0	_aPhysics.
650	1	4	_aEarth Sciences.
650	2	4	_aGeophysics/Geodesy.
650	2	4	_aEarth Sciences, general.
650	2	4	_aAtmospheric Sciences.
650	2	4	_aSimulation and Modeling.
650	2	4	_aNumerical and Computational Physics.
650	2	4	_aEnvironmental Monitoring/Analysis.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540238102
856	4	0	_uhttp://dx.doi.org/10.1007/3-540-30968-3
912			_aZDB-2-EES
950			_aEarth and Environmental Science (Springer-11646)
999			_c504451 _d504451