ISBN: 9783642075827
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to de… Altro …
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2010, ISBN: 9783642075827
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a … Altro …
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2010, ISBN: 3642075827
[EAN: 9783642075827], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CONDITIONALSIMULATIONS; STEREOLOGY; STOCHASTICGEOMETRY; DIGITALELEVATIONMODEL; MINING; STATISTICS; MINERALRESOU… Altro …
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2010, ISBN: 9783642075827
Springer Berlin Heidelberg, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2002, 280 Seiten, Publiziert: 2010-02-19T00:00:01Z, Produktgruppe: Buch, 1.05 kg, Verkaufsrang: 26… Altro …
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2010, ISBN: 9783642075827
Models and Algorithms, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2002, [PU: Springer Berlin], Springer Berlin, 2010
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ISBN: 9783642075827
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to de… Altro …
2010, ISBN: 9783642075827
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a … Altro …
2010
ISBN: 3642075827
[EAN: 9783642075827], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CONDITIONALSIMULATIONS; STEREOLOGY; STOCHASTICGEOMETRY; DIGITALELEVATIONMODEL; MINING; STATISTICS; MINERALRESOU… Altro …
2010, ISBN: 9783642075827
Springer Berlin Heidelberg, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2002, 280 Seiten, Publiziert: 2010-02-19T00:00:01Z, Produktgruppe: Buch, 1.05 kg, Verkaufsrang: 26… Altro …
2010, ISBN: 9783642075827
Models and Algorithms, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2002, [PU: Springer Berlin], Springer Berlin, 2010
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Informazioni dettagliate del libro - Geostatistical Simulation: Models and Algorithms
EAN (ISBN-13): 9783642075827
ISBN (ISBN-10): 3642075827
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Berlin Heidelberg
280 Pagine
Peso: 0,478 kg
Lingua: eng/Englisch
Libro nella banca dati dal 2012-08-07T17:05:35+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-02-26T18:36:10+01:00 (Zurich)
ISBN/EAN: 9783642075827
ISBN - Stili di scrittura alternativi:
3-642-07582-7, 978-3-642-07582-7
Stili di scrittura alternativi e concetti di ricerca simili:
Titolo del libro: geostatistical simulation models and algorithms
Dati dell'editore
Autore: Christian Lantuejoul
Titolo: Geostatistical Simulation - Models and Algorithms
Editore: Springer; Springer Berlin
256 Pagine
Anno di pubblicazione: 2010-11-30
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
109,99 € (DE)
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Conditional Simulations; Stereology; Stochastic Geometry; digital elevation model; mining; statistics; mineral resources; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Environmental Monitoring; Mineralogy; Geophysics; Umweltüberwachung (Umwelt-Monitoring); Petrologie (Gesteinskunde), Petrografie und Mineralogie; Geophysik; BB; EA
Within the geoscience community the estimation of natural resources is a challenging topic. The difficulties are threefold: Intitially, the design of appropriate models to take account of the complexity of the variables of interest and their interactions. This book discusses a wide range of spatial models, including random sets and functions, point processes and object populations. Secondly,the construction of algorithms which reproduce the variability inherent in the models. Finally, the conditioning of the simulations for the data, which can considerably reduce their variability. Besides the classical algorithm for gaussian random functions, specific algorithms based on markovian iterations are presented for conditioning a wide range of spatial models (boolean model, Voronoi tesselation, substitution random function etc.) This volume is the result of a series of courses given in the USA and Latin America to civil, mining and petroleum engineers, as well as to gradute students is statistics. It is the first book to discuss geostatistical simulation techniques in such a systematic way.Altri libri che potrebbero essere simili a questo:
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9783662048085 Geostatistical Simulation (Christian Lantuejoul)
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