**Jacek M. Czaplicki ...**288 pages -

**Publisher:**CRC Press; 1st edition (January 17, 2014)

**Language:**English -

**ISBN-10:**1466560460 -

**ISBN-13:**978-1466560468

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.

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.

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