Statistics for mining engineering / / Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland.
"Knowledge about modern statistics is necessary for mining engineers; not only on how statistical analysis of data should be conducted and statistical synthesis should be done, but also on understanding the results obtained and how to use them to make appropriate decisions connected with a mini...
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Place / Publishing House: | London [England] : : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business,, [2014] 2014 |
Year of Publication: | 2014 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (288 pages) :; illustrations |
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020 | |z 9781138001138 (hardback) | ||
020 | |a 9781315815039 (e-book) | ||
035 | |a (MiAaPQ)5001375236 | ||
035 | |a (Au-PeEL)EBL1375236 | ||
035 | |a (CaPaEBR)ebr10827805 | ||
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035 | |a (OCoLC)868488203 | ||
040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
050 | 4 | |a TN272.7 |b .C93 2014 | |
082 | 0 | |a 519.5 |2 23 | |
100 | 1 | |a Czaplicki, Jacek M. | |
245 | 1 | 0 | |a Statistics for mining engineering / |c Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland. |
264 | 1 | |a London [England] : |b CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, |c [2014] | |
264 | 4 | |c 2014 | |
300 | |a 1 online resource (288 pages) : |b illustrations | ||
336 | |a text |2 rdacontent | ||
337 | |a computer |2 rdamedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references. | ||
520 | |a "Knowledge about modern statistics is necessary for mining engineers; not only on how statistical analysis of data should be conducted and statistical synthesis should be done, but also on understanding the results obtained and how to use them to make appropriate decisions connected with a mining operation. This book on statistical analysis and synthesis is preceded by a short repetition of the probability theory. A special section about statistical prediction is also included. The text is illustrated by many examples taken from mine practice, moreover the tables required to conduct statistical inference are attached"-- |c Provided by publisher. | ||
588 | |a Description based on print version record. | ||
590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Mining engineering |x Statistical methods. | |
655 | 4 | |a Electronic books. | |
776 | 0 | 8 | |i Print version: |a Czaplicki, Jacek M. |t Statistics for mining engineering. |d London [England] : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, [2014] |h xiii, 271 pages |z 9781138001138 |w (DLC) 2013043750 |
797 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1375236 |z Click to View |