000			04239cam a2200661 i 4500
001			ocn908107437
003			OCoLC
005			20170807080133.0
006			m o d
007			cr |||||||||||
008			150424s2015 enk ob 001 0 eng
010			_a 2015016615
020			_a9781118762431 _qelectronic bk.
020			_a1118762436 _qelectronic bk.
020			_a9781118762455 _qelectronic bk.
020			_a1118762452 _qelectronic bk.
020			_z9781118762387
020			_z111876238X
020			_z1118413180 _q(pbk.)
020			_z9781118413180 _q(pbk.)
020			_a9781118762424 _qelectronic bk.
020			_a1118762428 _qelectronic bk.
029	1		_aDEBSZ _b449476820
029	1		_aDEBBG _bBV043397752
035			_a(OCoLC)908107437
040			_aDLC _beng _erda _epn _cDLC _dN$T _dYDXCP _dIDEBK _dCDX _dDG1 _dOCLCF _dEBLCP _dDEBSZ _dOCLCQ _dCOO _dOCLCQ _dN$T _dDEBBG _dKSU _dRECBK
042			_apcc
049			_aMAIN
050	0	0	_aQE33.2.S82
072		7	_aSCI _x030000 _2bisacsh
072		7	_aSCI _x031000 _2bisacsh
082	0	0	_a551.01/5195 _223
100	1		_aMontero, José María.
245	1	0	_aSpatial and spatio-temporal geostatistical modeling and kriging / _cJosé-María Montero, Department of Statistics, University of Castilla-La Mancha, Spain, Gema Fernández-Aviles, Department of Statistics, University of Castilla-La Mancha, Spain, Jorge Mateu, Department of Mathematics, University Jaume I of Castellon, Spain. _h[electronic resource]
264		1	_aChichester, West Sussex, UK : _bJohn Wiley and Sons, Inc., _c2015.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aWiley series in probability and statistics
504			_aIncludes bibliographical references and index.
505	0		_aFrom classical statistics to geostatistics -- Geostatistics: preliminaries -- Structural analysis -- Spatial prediction and kriging -- Geostatistics and spatio-temporal random functions -- Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting -- Spatio-temporal structural analysis (II): theoretical covariance models -- Spatio-temporal prediction and kriging -- An introduction to functional geostatistics -- Appendices A: Spectral representations -- Appendices B: Probabilistic aspects of -- Basic theory on restricted maximum likelihood -- Most relevant proofs (Chapter 7) -- Bibliography and further reading -- Index -- Supplemental Images -- Wiley Series in Probability and Statistics.
520			_aStatistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R. This book includes: -Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods. -The most innovative developments in the different steps of the kriging process. -An up-to-date account of strategies for dealing with data evolving in space and time. -An accompanying website featuring R code and examples.
588	0		_aPrint version record and CIP data provided by publisher.
650		0	_aGeology _xStatistical methods.
650		0	_aKriging.
650		7	_aSCIENCE _xEarth Sciences _xGeography. _2bisacsh
650		7	_aSCIENCE _xEarth Sciences _xGeology. _2bisacsh
650		7	_aGeology _xStatistical methods. _2fast _0(OCoLC)fst00940698
650		7	_aKriging. _2fast _0(OCoLC)fst00989128
655		4	_aElectronic books.
700	1		_aFernández-Avilés, Gema.
700	1		_aMateu, Jorge.
776	0	8	_iPrint version: _aMontero, José María. _tSpatial and spatio-temporal geostatistical modeling and kriging. _dChichester, West Sussex : John Wiley and Sons, Inc., 2015 _z9781118413180 _w(DLC) 2015015489
830		0	_aWiley series in probability and statistics.
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118762387 _zWiley Online Library
942			_2ddc _cBK
999			_c208005 _d208005