Geostatistics for the Mining Industry, Xavier Emery, Serge Antoine S?guret
Автор: Emery, Xavier , Seguret, Serge Название: Geostatistics for the mining industry ISBN: 0367505754 ISBN-13(EAN): 9780367505752 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the main mining issues where geostatistics, a discipline founded in the 1960s to study regionalized variables measured at a limited number of points in space, is expected to play a role.
Автор: Journel, A. G. Название: Mining geostatistics / ISBN: 1930665911 ISBN-13(EAN): 9781930665910 Издательство: Неизвестно Рейтинг: Цена: 130200.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Arcari Bassani Marcel Antonio, Coimbra Leite Costa Joгo Felipe Название: Geostatistics with Data of Different Support Applied to Mining Engineering ISBN: 3030801926 ISBN-13(EAN): 9783030801922 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.
Автор: Arcari Bassani Название: Geostatistics with Data of Different Support Applied to Mining Engineering ISBN: 3030801950 ISBN-13(EAN): 9783030801953 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.
Автор: Wackernagel Название: Multivariate Geostatistics ISBN: 3540441425 ISBN-13(EAN): 9783540441427 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis.
Автор: Peter M. Atkinson; C. D. Lloyd Название: geoENV VII – Geostatistics for Environmental Applications ISBN: 940073221X ISBN-13(EAN): 9789400732216 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK. It presents the state-of-the-art in geostatistics for the environmental sciences.
Автор: Leuangthong Название: Solved Problems in Geostatistics ISBN: 0470177926 ISBN-13(EAN): 9780470177921 Издательство: Wiley Рейтинг: Цена: 102380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Solved Problems in Geostatistics brings together exercises and projects that demonstrate key principles and build strong bridges between theory and practice. Each chapter focuses on a comprehensive topic with examples and problems for a technologically evolving audience.
Автор: Wackernagel, Hans Название: Multivariate Geostatistics ISBN: 3642079113 ISBN-13(EAN): 9783642079115 Издательство: Springer Рейтинг: Цена: 69650.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and statisticians. The text contains a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of 3 basic methods of multivariate analysis.
Автор: Metcalfe, Andrew Green, David Greenfield, Tony Man Название: Statistics in Engineering: With Examples in MATLAB® and R, Second Edition ISBN: 1439895473 ISBN-13(EAN): 9781439895474 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Engineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. Statistics in Engineering, Second Edition: With Examples in MATLAB and R covers the fundamentals of probability and statistics and explains how to use these basic techniques to estimate and model random variation in the context of engineering analysis and design in all types of environments. The first eight chapters cover probability and probability distributions, graphical displays of data and descriptive statistics, combinations of random variables and propagation of error, statistical inference, bivariate distributions and correlation, linear regression on a single predictor variable, and the measurement error model. This leads to chapters including multiple regression; comparisons of several means and split-plot designs together with analysis of variance; probability models; and sampling strategies. Distinctive features include:? All examples based on work in industry, consulting to industry, and research for industry? Examples and case studies include all engineering disciplines Emphasis on probabilistic modeling including decision trees, Markov chains and processes, and structure functions Intuitive explanations are followed by succinct mathematical justifications Emphasis on random number generation that is used for stochastic simulations of engineering systems, demonstration of key concepts, and implementation of bootstrap methods for inference Use of MATLAB and the open source software R, both of which have an extensive range of statistical functions for standard analyses and also enable programing of specific applications Use of multiple regression for times series models and analysis of factorial and central composite designs? Inclusion of topics such as Weibull analysis of failure times and split-plot designs that are commonly used in industry but are not usually included in introductory textbooks Experiments designed to show fundamental concepts that have been tested with large classes working in small groups Website with additional materials that is regularly updated Andrew Metcalfe, David Green, Andrew Smith, and Jonathan Tuke have taught probability and statistics to students of engineering at the University of Adelaide for many years and have substantial industry experience. Their current research includes applications to water resources engineering, mining, and telecommunications. Mahayaudin Mansor worked in banking and insurance before teaching statistics and business mathematics at the Universiti Tun Abdul Razak Malaysia and is currently a researcher specializing in data analytics and quantitative research in the Health Economics and Social Policy Research Group at the Australian Centre for Precision Health, University of South Australia. Tony Greenfield, formerly Head of Process Computing and Statistics at the British Iron and Steel Research Association, is a statistical consultant. He has been awarded the Chambers Medal for outstanding services to the Royal Statistical Society; the George Box Medal by the European Network for Business and Industrial Statistics for Outstanding Contributions to Industrial Statistics; and the William G. Hunter Award by the American Society for Quality. ? ?
Автор: G. Verly; M. David; A. G. Journel; A. Marechal Название: Geostatistics for Natural Resources Characterization ISBN: 9401081581 ISBN-13(EAN): 9789401081580 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Margaret A. Oliver; Richard Webster Название: Basic Steps in Geostatistics: The Variogram and Kriging ISBN: 3319158643 ISBN-13(EAN): 9783319158648 Издательство: Springer Рейтинг: Цена: 56590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors.
Автор: Avalos Sotomayor Название: Geostatistics Toronto 2021 ISBN: 3031198441 ISBN-13(EAN): 9783031198441 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Нет в наличии. Описание: This open access book provides state-of-the-art theory and application in geostatistics. Geostatistics Toronto 2021 includes 28 short abstracts, 18 extended abstracts, and 7 full articles in the fields of geostatistical theory, multi-point statistics, earth sciences, mining, optimal drilling, domains, seismic, classification uncertainty risk, and artificial intelligence and machine learning. All contributions were presented at the 11th International Geostatistics Congress held in virtually at Toronto, Canada, from July 12-16, 2021. This book is valuable to researchers, scientists, and practitioners in geology, mining, petroleum, geometallurgy, mathematics, and statistics.
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