000			02760nam a2200301Ia 4500
003			OSt
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008			220909b |||||||| |||| 00| 0 eng d
020			_a9780470183151
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aB28:(H) Q2;1 _qCSL
100			_aChiles, Jean-Paul _eauthor _9852245
245		0	_aGeostatistics _b : Modeling Spatial Uncertainty _c/ by Jean-Paul Chiles and Pierre Delfiner
250			_a2nd
260			_aNew Jersey : _b Wiley , _c2012 .
300			_axv,710p.
490			_aWiley series in probability and statistics
500			_aIncluded Appendix 629-741p.; References 642-688p.; Index 689-699p.
520			_aGeostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field.The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear and nonlinear methods; change of support; multivariate approaches; and conditional simulations. The Second Edition highlights the growing number of applications of geostatistical methods and discusses three key areas of growth in the field:New results and methods, including kriging very large datasets; kriging with outliers; nonse??parable space-time covariances; multipoint simulations; pluri-gaussian simulations; gradual deformation; and extreme value geostatistics Newly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilation New perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change-of-support models, and simulation algorithms Geostatistics, Second Edition is an excellent book for courses on the topic at the graduate level. It also serves as an invaluable reference for earth scientists, mining and petroleum engineers, geophysicists, and environmental statisticians who collect and analyze data in their everyday work.
650			_aProbability distribution. _9852246
650			_aStructural analysis. _9852247
650			_aStatistics. _9852248
700			_aDelfiner, Pierre _eco-author _9852249
942			_hB28:(H) Q2;1 _cTEXL _2CC _n0
999			_c13426 _d13426