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In Applied Geostatistics, the authors demonstrate how simple statistical methods can be used to analyze earth science data. They explain how various forms of the estimation method called kriging can be employed for specific problems. A case study of a simulated deposit is the focus of the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide the reader through his or her first independent geostatistical study. The text is aimed primarily at students of mining geology and engineering.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
Q: What is the main focus of 'An Introduction to Applied Geostatistics'?A: The book focuses on how statistical methods can be applied to analyze earth science data, specifically through the estimation method known as kriging.
Q: Who is the intended audience for this book?A: The primary audience for this book is students of mining geology and engineering.
Q: What is kriging and how is it covered in the book?A: Kriging is a statistical estimation method discussed in the book, where various forms are explained for specific problems, supported by a case study.
Q: How many pages does 'An Introduction to Applied Geostatistics' have?A: The book contains 592 pages.
Q: What is the binding type of this book?A: The book is published in paperback binding.
Q: When was 'An Introduction to Applied Geostatistics' published?A: The book was published on January 11, 1990.
Q: Who are the authors of this book?A: The authors of the book are Edward H. Isaaks and others.
Q: What edition of the book is available?A: This is the first edition of 'An Introduction to Applied Geostatistics'.
Q: Is this book suitable for beginners in geostatistics?A: Yes, the book serves as a tutorial to help beginners develop an understanding of statistical tools in geostatistics.
Q: Does the book include practical examples or case studies?A: Yes, it includes a case study of a simulated deposit to illustrate the application of statistical methods.
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