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Condizione: New.

paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 350 pages. 9.00x6.00x9.25 inches. In Stock.

Paperback. Condizione: New. Introduction to Mining Geostatistics: Intuitive Applications with Excel and R is a practical and accessible guide to geostatistical techniques in mineral exploration, with a strong focus on reserves estimation. Designed for students, researchers, and industry professionals, this book blends fundamental concepts of theory with hands-on applications, using Excel and R to simplify complex analyses.Key topics include:Essential Statistical Foundations - Master core data analysis techniques for ore reserves estimation.Sampling Strategies and Error Analysis - Minimize uncertainty and improve data reliability.Spatial Analysis and Kriging - Use variograms, covariance functions, and Kriging algorithms to estimate unknown values from borehole data.Multivariate Geostatistics - Model interdependent variables to enhance accuracy and predictive power.Stochastic Simulation - Explore alternative estimation methods for risk assessment and scenario analysis.Reserve Classification and Reporting - Understand global classification systems and key reserve estimation parameters.Filled with real-world case studies and practical examples, this book bridges theory and application, making geostatistics intuitive and approachable. Whether you're optimizing exploration projects, improving resource estimates, or conducting economic risk assessments, this guide equips you with the tools to make informed decisions.…

Condizione: New. Includes templated spreadsheet examples and exercises in Excel and R for accessible understandingProvides geometric instead of algebraic representation wherever possibleDetailed visualization of geostatistics theory throughout the .

Taschenbuch. Condizione: Neu. Neuware - Introduction to Mining Geostatistics: Intuitive Applications with Excel and R is a practical and accessible guide to geostatistical techniques in mineral exploration, with a strong focus on reserves estimation. Designed for students, researchers, and industry professionals, this book blends fundamental concepts of theory with hands-on applications, using Excel and R to simplify complex analyses.Key topics include:Essential Statistical Foundations - Master core data analysis techniques for ore reserves estimation.Sampling Strategies & Error Analysis - Minimize uncertainty and improve data reliability.Spatial Analysis & Kriging - Use variograms, covariance functions, and Kriging algorithms to estimate unknown values from borehole data.Multivariate Geostatistics - Model interdependent variables to enhance accuracy and predictive power.Stochastic Simulation - Explore alternative estimation methods for risk assessment and scenario analysis.Reserve Classification & Reporting - Understand global classification systems and key reserve estimation parameters.Filled with real-world case studies and practical examples, this book bridges theory and application, making geostatistics intuitive and approachable. Whether you're optimizing exploration projects, improving resource estimates, or conducting economic risk assessments, this guide equips you with the tools to make informed decisions.…

Paperback. Condizione: New. Introduction to Mining Geostatistics: Intuitive Applications with Excel and R is a practical and accessible guide to geostatistical techniques in mineral exploration, with a strong focus on reserves estimation. Designed for students, researchers, and industry professionals, this book blends fundamental concepts of theory with hands-on applications, using Excel and R to simplify complex analyses.Key topics include:Essential Statistical Foundations - Master core data analysis techniques for ore reserves estimation.Sampling Strategies and Error Analysis - Minimize uncertainty and improve data reliability.Spatial Analysis and Kriging - Use variograms, covariance functions, and Kriging algorithms to estimate unknown values from borehole data.Multivariate Geostatistics - Model interdependent variables to enhance accuracy and predictive power.Stochastic Simulation - Explore alternative estimation methods for risk assessment and scenario analysis.Reserve Classification and Reporting - Understand global classification systems and key reserve estimation parameters.Filled with real-world case studies and practical examples, this book bridges theory and application, making geostatistics intuitive and approachable. Whether you're optimizing exploration projects, improving resource estimates, or conducting economic risk assessments, this guide equips you with the tools to make informed decisions.…