Olea ricardo (37 Ergebnisse)
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Sprache: Spanisch
Verlag: Independently Published, 2026
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:0195066898.
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Taschenbuch. Zustand: Neu. Neuware - THE CHALLENGE Most geological phenomena are extraordinarily complex in their interrelationships and vast in their geographical extension. Ordinarily, engineers and geoscientists are faced with corporate or scientific requirements to properly prepare geological models with measurements involvi…ng a small fraction of the entire area or volume of interest. Exact description of a system such as an oil reservoir is neither feasible nor economically possible. The results are necessarily uncertain. Note that the uncertainty is not an intrinsic property of the systems; it is the result of incomplete knowledge by the observer. THE AIM OF GEOSTATISTICS The main objective of geostatistics is the characterization of spatial systems that are incompletely known, systems that are common in geology. A key difference from classical statistics is that geostatistics uses the sampling location of every measurement. Unless the measurements show spatial correlation, the application of geostatistics is pointless. Ordinarily the need for additional knowledge goes beyond a few points, which explains the display of results graphically as fishnet plots, block diagrams, and maps. GEOSTATISTICAL METHODS Geostatistics is a collection of numerical techniques for the characterization of spatial attributes using primarily two tools: probabilistic models, which are used for spatial data in a manner similar to the way in which time-series analysis characterizes temporal data, or pattern recognition techniques. The probabilistic models are used as a way to handle uncertainty in results away from sampling locations, making a radical departure from alternative approaches like inverse distance estimation methods. DIFFERENCES WITH TIME SERIES On dealing with time-series analysis, users frequently concentrate their attention on extrapolations for making forecasts. Although users of geostatistics may be interested in extrapolation, the methods work at their best interpolating. This simple difference has sig.
Weitere BilderVerlag: Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, 1967
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- Erstausgabe
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In den WarenkorbEncuadernación de tapa dura. Zustand: Bien. 1ª Edición. 109 p. ; 23x21 cms., ilustraciones b/n. Bibliografía.600 grs. Memoria de prueba. Geología (A-305-GR-35).
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Buch. Zustand: Neu. Neuware - THE CHALLENGE Most geological phenomena are extraordinarily complex in their interrelationships and vast in their geographical extension. Ordinarily, engineers and geoscientists are faced with corporate or scientific requirements to properly prepare geological models with measurements involving a sm…all fraction of the entire area or volume of interest. Exact description of a system such as an oil reservoir is neither feasible nor economically possible. The results are necessarily uncertain. Note that the uncertainty is not an intrinsic property of the systems; it is the result of incomplete knowledge by the observer. THE AIM OF GEOSTATISTICS The main objective of geostatistics is the characterization of spatial systems that are incompletely known, systems that are common in geology. A key difference from classical statistics is that geostatistics uses the sampling location of every measurement. Unless the measurements show spatial correlation, the application of geostatistics is pointless. Ordinarily the need for additional knowledge goes beyond a few points, which explains the display of results graphically as fishnet plots, block diagrams, and maps. GEOSTATISTICAL METHODS Geostatistics is a collection of numerical techniques for the characterization of spatial attributes using primarily two tools: probabilistic models, which are used for spatial data in a manner similar to the way in which time-series analysis characterizes temporal data, or pattern recognition techniques. The probabilistic models are used as a way to handle uncertainty in results away from sampling locations, making a radical departure from alternative approaches like inverse distance estimation methods. DIFFERENCES WITH TIME SERIES On dealing with time-series analysis, users frequently concentrate their attention on extrapolations for making forecasts. Although users of geostatistics may be interested in extrapolation, the methods work at their best interpolating. This simple difference has sig.
A Practical Primer on Geostatistics: Open-File Report 2009-1103
U. S. Department of the Interior, United States Geological Survey (USGS)|Olea, Ricardo A.
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Zustand: New. KlappentextTHE CHALLENGE Most geological phenomena are extraordinarily complex in their interrelationships and vast in their geographical extension. Ordinarily, engineers and geoscientists are faced with corporate or scientific requireme.
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hardcover. Zustand: Sehr gut. 320 Seiten; 9780792385233.2 Gewicht in Gramm: 1.
Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death
Christakos, George; Olea, Ricardo A.; Serre, Marc L.; Yu, Hwa-Lung; Wang, Lin-Lin
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Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death
Christakos, George; Olea, Ricardo A.; Serre, Marc L.; Yu, Hwa-Lung; Wang, Lin-Lin
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A Practical Primer on Geostatistics: Open-File Report 2009-1103
United States Geological Survey (USGS) U. S. Department of the Interior, Ricardo A. Olea
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 350 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - If you want to achieve something, if you want to write a book, paint a picture, be sure the center of your existence is somewhere else and that it's solidly grounded; only then will you be able to keep your cool and laugh at the attacks that are boun…d to come. ' P. Feyerabend This is a book about interdisciplinary public health reasoning and epidemic m- th elling, in general, and the study of the infamous 14 century AD Black Death d- aster, in particular. We focus on the intellectual context in which epidemic mod- ling takes place, in a way that accounts for the present-day interdisciplinary and multicultural trends in scientific inquiry. Like most scientific fields, public health research defines itself based on knowledge, which raises serious epistemic and cognitive issues. Therefore, we maintain that for public health modellers to fu- tion in an often complex environment, they should be aware of the divergent c- ceptions of knowledge and the technological changes that these imply, the mul- ple sources of information commonly available and their reliability, the different styles of thinking adopted by the disciplines involved, and the importance of - veloping sound interdisciplinary knowledge integration skills.
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780792385233.
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780792385233.
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Engineers and earth scientists are increasingly interested in quantitative methods for the analysis, interpretation, and modeling of data that imperfectly describe natural processes or attributes measured at geographical locations. Inference from imp…erfect knowledge is the realm of classical statistics. In the case of many natural phenomena, auto- and cross- correlation preclude the use of classical statistics. The appropriate choice in such circumstances is geostatistics, a collection of numerical techniques for the characterization of spatial attributes similar to the treatment in time series analysis of auto-correlated temporal data. As in time series analysis, most geostatistical techniques employ random variables to model the uncertainty that goes with the assessments. The applicability of the methods is not limited by the physical nature of the attributes. Geostatistics for Engineers and Earth Scientists presents a concise introduction to geostatistics with an emphasis on detailed explanations of methods that are parsimonious, nonredundant, and through the test of time have proved to work satisfactorily for a variety of attributes and sampling schemes. Most of these methods are various forms of kriging and stochastic simulation. The presentation follows a modular approach making each chapter as self-contained as possible, thereby allowing for reading of individual chapters, reducing excessive cross-referencing to previous results and offering possibilities for reviewing similar derivations under slightly different circumstances. Guidelines and rules are offered wherever possible to help choose from among alternative methods and to select parameters, thus relieving the user from making subjective calls based on an experience that has yet to be acquired. Geostatistics for Engineers and Earth Scientists is intended to assist in the formal teaching of geostatistics or as a self tutorial for anybody who ismotivated to employ geostatistics for sampling design, data analysis, or natural resource characterization. Real data sets are used to illustrate the application of the methodology.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Engineers and earth scientists are increasingly interested in quantitative methods for the analysis, interpretation, and modeling of data that imperfectly describe natural processes or attributes measured at geographical locations. Inference from imperfect…knowledge is the realm of classical statistics. In the case of many natural phenomena, auto- and cross- correlation preclude the use of classical statistics. The appropriate choice in such circumstances is geostatistics, a collection of numerical techniques for the characterization of spatial attributes similar to the treatment in time series analysis of auto-correlated temporal data. As in time series analysis, most geostatistical techniques employ random variables to model the uncertainty that goes with the assessments. The applicability of the methods is not limited by the physical nature of the attributes. Geostatistics for Engineers and Earth Scientists presents a concise introduction to geostatistics with an emphasis on detailed explanations of methods that are parsimonious, nonredundant, and through the test of time have proved to work satisfactorily for a variety of attributes and sampling schemes. Most of these methods are various forms of kriging and stochastic simulation. The presentation follows a modular approach making each chapter as self-contained as possible, thereby allowing for reading of individual chapters, reducing excessive cross-referencing to previous results and offering possibilities for reviewing similar derivations under slightly different circumstances. Guidelines and rules are offered wherever possible to help choose from among alternative methods and to select parameters, thus relieving the user from making subjective calls based on an experience that has yet to be acquired. Geostatistics for Engineers and Earth Scientists is intended to assist in the formal teaching of geostatistics or as a self tutorial for anybody who ismotivated to employ geostatistics for sampling design, data analysis, or natural resource characterization. Real data sets are used to illustrate the application of the methodology.
Weitere Bilder- Softcover
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Taschenbuch. Zustand: Neu. Geostatistics for Engineers and Earth Scientists | Ricardo A. Olea | Taschenbuch | xvii | Englisch | 2012 | Springer | EAN 9781461372714 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Zustand: Brand New. reprint edition. 303 pages. 8.75x6.00x0.75 inches. In Stock.
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Zustand: New. Provides an introduction to geostatistics with an emphasis on explanations of methods that are parsimonious, nonredundant, and through the test of time have proved to work satisfactorily for various attributes and sampling schemes. This book uses real data sets to illustrate the application of the methodology. Num…Pages: 303 pages, biography. BIC Classification: PBT; RBG. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 235 x 155 x 19. Weight in Grams: 631. . 1999. Hardback. . . . . Books ship from the US and Ireland.
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Zustand: gut. 1999. Geostatistics for Engineers and Earth Scientists In englischer Sprache. pages.
