Geostatistics for Engineers and Earth Scientists
(Sprache: Englisch)
Geostatistics for Engineers and Earth Scientists
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Geostatistics for Engineers and Earth ScientistsInhaltsverzeichnis zu „Geostatistics for Engineers and Earth Scientists “
List of Mathematical Definitions. List of Theorems. List of Corollaries. List of Lemmas. Preface. 1. Introduction. 2. Simple Kriging. 3. Normalization. 4. Ordinary Kriging. 5. The Semivariogram. 6. Universal Kriging. 7. Crossvalidation. 8. Drift and Residuals. 9. Stochastic Simulation. 10. Reliability. 11. Cumulative Distribution Estimators. 12. Block Kriging. 13. Ordinary Cokriging. 14. Regionalized Classification. References. Appendices: A. West Lyons Field Sampling. B. High Plains Aquifer Sampling. C. UNCF Sampling. D. Dakota Aquifer Sampling. Author Index. Subject Index.
Bibliographische Angaben
- Autor: Ricardo A. Olea
- 2012, Softcover reprint of the original 1st ed. 1999, 303 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1461372712
- ISBN-13: 9781461372714
Sprache:
Englisch
Pressezitat
`This book ... is one of the best introductions to geostatistics. It is a perfect balance between theory and methodological considerations. ... Even the more experienced geostatisticians will read it with great pleasure and will find for it a very special place on their bookshelf. It is the kind of book that you enjoy recommending to anyone who wants a good starting point in a field. ... I very stronly recommend this book to anyone who wants to have an introductive, consistent and unbiased view of geostatistics, a discipline that urgently needs young and enthusiastic scientists with a fresh view of the problems. In this sense, this book should help us a lot, at least as much as it will help them.' P. Bogaert in Stochastic Environmental Research and Risk Assessment, 14 (2000)
'This book should be seriously considered for adoption in a graduate level course on geostatistics. Moreover, this book would make a valuable addition to any library on spatial analysis.'
Mathematical Geology, July (2002)
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