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Statistics for Mining Engineering

By Jacek M. Cazplicki
Published by CRC Press, an imprint of Taylor & Francis - 2014
290 pages

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Many areas of mining engineering gather and use statistical information. This information is provided by observing the realities of activities such as the operation of equipment and their systems, surface subsidence that accompanies underground mining, and the displacement of rocks surrounding surface pits and underground drives and longwalls.

In addition, the actual modern machines used in surface mining are equipped with diagnostic systems that automatically trace all important machine parameters and send this information to the main producer's computer. Such data not only provide information on the technical properties of the machine but it also has a statistical nature. Furthermore, all information gathered during stand and lab investigations where parts, assemblies, and whole devices are tested in order to prove their usefulness have a stochastic character. All of these materials need to be developed statistically and, what is important is that mining engineers must make decisions based on those results.

For these reasons, knowledge of modern statistics is necessary for mining engineers.

This book on statistical analysis and synthesis starts with a short repetition of probability theory and a special section on statistical prediction. The text is illustrated with many examples taken from mining practice and includes useful tables of information required to conduct statistical inference.


  • Fundamentals
  • Some Areas of Application of Mathematical Statistics in Mining
  • Analysis of Data
  • Synthesis of Data
  • Relationships Between Random Variables
  • Synthesis of Data-Regression Analysis
  • Special Topic: Prediction
  • Explanations of Some Important Terms
  • Statistical Tables

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