Statistics for mining engineering /

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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Czaplicki, Jacek M.
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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ctrlnum (MiAaPQ)5001375236
(Au-PeEL)EBL1375236
(CaPaEBR)ebr10827805
(CaONFJC)MIL572288
(OCoLC)868488203
collection bib_alma
record_format marc
spelling Czaplicki, Jacek M.
Statistics for mining engineering / Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland.
London [England] : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, [2014]
2014
1 online resource (288 pages) : illustrations
text rdacontent
computer rdamedia
online resource rdacarrier
Includes bibliographical references.
"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"-- Provided by publisher.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Mining engineering Statistical methods.
Electronic books.
Print version: Czaplicki, Jacek M. Statistics for mining engineering. London [England] : CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business, [2014] xiii, 271 pages 9781138001138 (DLC) 2013043750
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1375236 Click to View
language English
format eBook
author Czaplicki, Jacek M.
spellingShingle Czaplicki, Jacek M.
Statistics for mining engineering /
author_facet Czaplicki, Jacek M.
author_variant j m c jm jmc
author_sort Czaplicki, Jacek M.
title Statistics for mining engineering /
title_full Statistics for mining engineering / Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland.
title_fullStr Statistics for mining engineering / Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland.
title_full_unstemmed Statistics for mining engineering / Jacek M. Czaplicki, Mining Mechanization Institute, Silesian University of Technology, Giliwice, Poland.
title_auth Statistics for mining engineering /
title_new Statistics for mining engineering /
title_sort statistics for mining engineering /
publisher CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business,
publishDate 2014
physical 1 online resource (288 pages) : illustrations
isbn 9781315815039 (e-book)
9781138001138
callnumber-first T - Technology
callnumber-subject TN - Mining Engineering and Metallurgy
callnumber-label TN272
callnumber-sort TN 3272.7 C93 42014
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1375236
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
oclc_num 868488203
work_keys_str_mv AT czaplickijacekm statisticsforminingengineering
status_str n
ids_txt_mv (MiAaPQ)5001375236
(Au-PeEL)EBL1375236
(CaPaEBR)ebr10827805
(CaONFJC)MIL572288
(OCoLC)868488203
is_hierarchy_title Statistics for mining engineering /
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