1987, ISBN: 9789027726353
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1987, ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Europe; classification; dataanalysis; Distribution; earthquakeprediction; Formation; Geology; geoscience; Geostatistics; miner… Meer...
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1987, ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Europe; classification; dataanalysis; Distribution; earthquakeprediction; Formation; Geology; geoscience; Geostatistics; miner… Meer...
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1987, ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Geostatistics; mineralresources; modeling; morphology; Ocean; regressionanalysis; Statistics; Europe; classification; dataanal… Meer...
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1987, ISBN: 9789027726353
Buch, Hardcover, 1988 ed. [PU: Kluwer Academic Publishers], Kluwer Academic Publishers, 1987
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1987, ISBN: 9789027726353
[ED: Gebunden], [PU: Springer Netherlands], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the NATO Advanced Study Institu… Meer...
Chung, C. F. (Herausgeber); Sinding-Larsen, R. (Herausgeber); Fabbri, Andrea G. (Herausgeber):
Quantitative Analysis of Mineral and Energy Resources - gebonden uitgave, pocketboek1987, ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Europe; classification; dataanalysis; Distribution; earthquakeprediction; Formation; Geology; geoscience; Geostatistics; miner… Meer...
1987
ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Europe; classification; dataanalysis; Distribution; earthquakeprediction; Formation; Geology; geoscience; Geostatistics; miner… Meer...
1987, ISBN: 9027726353
1988 Gebundene Ausgabe Erde (Planet) / Geologie, Geologie, Geostatistics; mineralresources; modeling; morphology; Ocean; regressionanalysis; Statistics; Europe; classification; dataanal… Meer...
1987, ISBN: 9789027726353
Buch, Hardcover, 1988 ed. [PU: Kluwer Academic Publishers], Kluwer Academic Publishers, 1987
Bibliografische gegevens van het best passende boek
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ISBN: |
Gedetalleerde informatie over het boek. - Quantitative Analysis of Mineral and Energy Resources
EAN (ISBN-13): 9789027726353
ISBN (ISBN-10): 9027726353
Gebonden uitgave
Verschijningsjaar: 1987
Uitgever: Kluwer Academic Publishers
760 Bladzijden
Gewicht: 1,280 kg
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2007-10-27T12:31:46+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-08-24T22:26:33+02:00 (Amsterdam)
ISBN/EAN: 9027726353
ISBN - alternatieve schrijfwijzen:
90-277-2635-3, 978-90-277-2635-3
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: fabbri, sinding larsen, chung
Titel van het boek: eñe, analysis, mineral resources and energy
Gegevens van de uitgever
Auteur: C.F. Chung; Andrea G. Fabbri; R. Sinding-Larsen
Titel: Nato Science Series C:; Quantitative Analysis of Mineral and Energy Resources
Uitgeverij: Springer; Springer Netherland
738 Bladzijden
Verschijningsjaar: 1987-12-31
Dordrecht; NL
Taal: Engels
320,99 € (DE)
329,99 € (AT)
354,00 CHF (CH)
Available
XVIII, 738 p.
BB; Hardcover, Softcover / Geowissenschaften/Geologie; Geologie und die Lithosphäre; Verstehen; Europe; classification; data analysis; distribution; earthquake prediction; formation; geology; geoscience; geostatistics; mineral resources; modeling; morphology; ocean; regression analysis; statistics; economic geology; Geology; BC
1. Integration of Data for Resource Evaluation.- Application of recent developments of regression analysis in regional mineral resource evaluation.- Poisson regression analysis and its application.- Measurement, sampling and interpretation.- Levels of information and probability mapping.- Review of geomathematical applications for mineral resources evaluation in China.- 2. Statistical Analysis of Geochemical Data.- New approaches to the recognition of anomalies in exploration geochemistry.- Univariate patterns in the design of multivariate analysis techniques for geochemical data evaluation.- Application of robust statistics in the analysis of geochemical data.- 3. Statistical Mehtods for Oil and Gas Resource Evaluation.- U.S. Geological Survey assessment methodology for estimation of undiscovered petroleum resources in play analysis of the Artic National Wildlife Refuge.- Statistical evaluation of petroleum deposits before discovery.- On assessing dry probabilities in offshore oil and gas exploration: an application of Bayes’s theorem.- Statistical analysis of oil and gas discovery data.- 4. Image Processing in Earth Sciences.- Automated integration of mineral resource data by image processing and artificial intelligence.- Principles of mathematical morphology.- The use of geological image analysis in remote sensing and seismic attribute integration for resource assessment.- Statistical image processing.- 5. Statistical Analysis of Spatial Data.- Spatial analysis of patterns of land-based and ocean-floor ore deposits.- Point processes for the earth sciences.- 6. Geostatistics.- An unconventional approach to geostatistical estimation.- Case studies on modelling complex sulphide orebodies for ore reserve estimation using geostatistical methods.- A Bayesian approach tosurface estimation.- Conditional simulation of indicator data. Case study of a multi-seam coal deposit.- Factorial kriging as a method to include spatial structure into classification. A case study on a sulphide orebody.- Geostatistical techniques for interpreting multivariate spatial information.- 7. Other Statisitcal Methodologies for Geoscience Data.- The shape of Lloydminster oil and gas deposit attribute data.- Confidence bands for the distribution and quantile functions for truncated and randomly censored data.- Geostatistical crustal abundance resource models.- 8. Artificial Intelligence in Earth Sciences.- The usage of Artificial intelligence in remote sensing: a review of applications and current research.- GEOVALUATOR, an expert system for resource appraisal: a demonstration prototype for kaolin in Georgia, U.S.A.- GEMS: a microcomputer-based expert system for digital image data.- On the understanding of geological cross-sections by expert systems.- 9. Other Contributed Papers.- Examples of spatial analysis and management in the geographical and conformal projection domains.- A classification procedure for exploitable reserves.- Drainage and divide networks derived from high-fidelity digital terrain models.- An algebraic model for data structure and manipulation as a design basis for integrated geoscience processing systems.- Case study on application of qualitative data analysis techniques to an uranium mineralization.- A shell for microcomputer exploration software used in developing countries.- Optimal exploration strategies: the synthesis of resource assessments and operations research.- Advantages and limitations of discovery process modeling: the case of the Northern West Siberian gas plays.- Some aspects of multivariate analysis.- Workshop Reports.- Current problems and future developments in multivariate analysis.- Current problems and future developments in oil and gas resource modeling and forecasting.- Current problems and future developments in spatial statistics and image processing.- Current problems and future developments in mineral and energy resource expert system development.- Current problems and future developments in the use of microcomputers.Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
Laatste soortgelijke boek:
9789400940291 Quantitative Analysis of Mineral and Energy Resources (J.S. Charlton)
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