Statistics for mining engineering
Author(s)
Bibliographic Information
Statistics for mining engineering
(A Balkema book)
CRC Press, c2014
- : hbk
Available at 1 libraries
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Note
Includes bibliographical references (p. 265-271) and index
Description and Table of Contents
Description
Many areas of mining engineering gather and use statistical information, provided by observing the actual operation of equipment, their systems, the development of mining works, surface subsidence that accompanies underground mining, displacement of rocks surrounding surface pits and underground drives and longwalls, amongst others. 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 they also have a statistical character. 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, more importantly, based on these results mining engineers must make decisions whether to undertake actions, connected with the further operation of the machines, the further development of the works, etc. For these reasons, knowledge of modern statistics is necessary for mining engineers; not only as to how statistical analysis of data should be conducted and statistical synthesis should be done, but also as to understanding the results obtained and how to use them to make appropriate decisions in relation to the mining operation.
This book on statistical analysis and synthesis starts with a short repetition of probability theory and also includes a special section on statistical prediction. The text is illustrated with many examples taken from mining practice; moreover the tables required to conduct statistical inference are included.
Table of Contents
1.Fundamentals 2.Some areas of application of mathematical statistics in mining 3.Analysis of data 4.Synthesis of data 5.Relationships between random variables 6.Synthesis of data-regression analysis 7.Special topic: Prediction 8.Explanations of some important terms 9.Statistical tables
by "Nielsen BookData"