000			02629nam a22003498i 4500
001			CR9780511626166
003			UkCbUP
005			20221102214124.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s1997||||enk o ||1 0|eng|d
020			_a9780511626166 (ebook)
020			_z9780521583121 (hardback)
020			_z9780521587471 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aGB1001.72.S7 _bK57 1997
082	0	0	_a551.49/072 _220
100	1		_aKitanidis, P. K. _q(Peter K.), _eauthor. _966966
245	1	0	_aIntroduction to geostatistics : _bapplications to hydrogeology / _cP.K. Kitanidis.
264		1	_aCambridge : _bCambridge University Press, _c1997.
300			_a1 online resource (xx, 249 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_a1. Introduction -- 2. Exploratory data analysis -- 3. Intrinsic model -- 4. Variogram fitting -- 5. Anisotropy -- 6. Variable mean -- 7. More linear estimation -- 8. Multiple variables -- 9. Estimation and GW models -- A. Probability theory review -- B. Lagrange multipliers -- C. Generation of realizations.
520			_aEngineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study.
650		0	_aHydrogeology _xStatistical methods. _94606
776	0	8	_iPrint version: _z9780521583121
856	4	0	_uhttps://doi.org/10.1017/CBO9780511626166
942			_cETB
999			_c81824 _d81824