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… Plus…

[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 describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way. 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 2.40], Neuware, gewerbliches Angebot, 235x155x15 mm, 280, [GW: 429g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

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 … Plus…

[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 set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way. 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. 2010. xiii, 256 S. XIII, 256 p. 232 illus., 76 illus. in color. 235 mm Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

2010, ISBN: 3642075827

[EAN: 9783642075827], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CONDITIONALSIMULATIONS; STEREOLOGY; STOCHASTICGEOMETRY; DIGITALELEVATIONMODEL; MINING; STATISTICS; MINERALRESOU… Plus…

[EAN: 9783642075827], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], CONDITIONALSIMULATIONS; STEREOLOGY; STOCHASTICGEOMETRY; DIGITALELEVATIONMODEL; MINING; STATISTICS; MINERALRESOURCES, Druck auf Anfrage Neuware -This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way. 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. 280 pp. Englisch, Books<

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… Plus…

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: 2636, Umweltingenieurwissenschaften, Ingenieurwissenschaften, Fachbücher, Kategorien, Bücher, Geophysik, Geowissenschaften, Naturwissenschaft & Mathematik, Statistik, Umweltwissenschaft, Chemie, Naturwissenschaften & Technik, Geologie, Ingenieurwissenschaft & Technik, Umwelt & Ökologie, Verschiedenes, Springer Berlin Heidelberg, 2010<

2010, ISBN: 9783642075827

Models and Algorithms, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2002, [PU: Springer Berlin], Springer Berlin, 2010