Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths

The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index a...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2016-11, Vol.11 (11), p.e0167198-e0167198
Main Authors: Huang, Yuecheng, Cheng, Wuyi, Luo, Sida, Luo, Yun, Ma, Chengchen, He, Tailin
Format: Article
Language:English
Subjects:
Accidental deaths
Accidents
Accidents, Occupational - mortality
Analysis
Analytical methods
China
Coal
Coal - economics
Coal mines
Coal Mining
Computer and Information Sciences
Correlation
Correlation coefficient
Correlation coefficients
Crude oil
Crude oil prices
Data processing
Engineering and Technology
Engineering schools
Fatalities
Forecasts and trends
Humans
Methods
Mining accidents & safety
Mortality
Occupational safety and health
People and Places
Periodicity
Physical Sciences
Price indexes
Safety and security measures
Safety research
Social Sciences
Spectral analysis
Statistics as Topic
Subgroups
Time series
Topology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3
cites cdi_FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3
container_end_page e0167198
container_issue 11
container_start_page e0167198
container_title PloS one
container_volume 11
creator Huang, Yuecheng
Cheng, Wuyi
Luo, Sida
Luo, Yun
Ma, Chengchen
He, Tailin
description The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index and the number of deaths from coal mining accidents were selected as the sample data. The fluctuation modes of the asynchronous correlation between the two data sets were defined according to the asynchronous correlation coefficients, symbolization, and sliding windows. We then built several directed and weighted network models, within which the fluctuation modes and the transformations between modes were represented by nodes and edges. Then, the features of the asynchronous correlation between these two variables could be studied from a perspective of network topology. We found that the correlation between the price index and the accidental deaths was asynchronous and fluctuating. Certain aspects, such as the key fluctuation modes, the subgroups characteristics, the transmission medium, the periodicity and transmission path length in the network, were analyzed by using complex network theory, analytical methods and spectral analysis method. These results provide a scientific reference for generating warnings for coal mining accidents based on economic indices.
doi_str_mv 10.1371/journal.pone.0167198
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1844917140</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A472218235</galeid><doaj_id>oai_doaj_org_article_7d008e2df9f3462f9e246422bf6a7e83</doaj_id><sourcerecordid>A472218235</sourcerecordid><originalsourceid>FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYqPwDxBEQkJw0eKv2MkNUlUYVBoagolby3GOW1epXewEtn-Pu2ZTg3Yx5cLROc95fT58suwlRjNMBf6w8X1wqp3tvIMZwlzgqnyUneKKkikniD4--j_JnsW4QaigJedPsxMiKkQEK0-z7Rmorg8Qc2_ybg35PF47vQ7e-T7mCx8CtKqz3uU1dH8B3A20WFunkle1-fdgNeRL18BVrlxzMH6zzrpVPtfaNuC6ZPmUrlnH59kTo9oIL4Zzkl2efb5cfJ2eX3xZLubnUy1I0U1rpBXCpSlVgwRuVI0FBs5ZgakmjGuDa1QpLLgxWIFCTaqd1UzQQtDkpZPs9UF21_ooh0ZFiUvGqiTFUCKWB6LxaiN3wW5VuJZeWXlj8GElVeisbkGKBqESSGMqQxknpoKUAiOkNlwJKGnS-jjc1tdbaHQqOKh2JDr2OLuWK_9HpnIQoXuBd4NA8L97iJ3c2qihbZWDNIWUNy8pqiokHoCyghScpIBJ9uY_9P5GDNRKpVqtMz6lqPeics4EIbgktEjU7B4qfQ1srU4P0NhkHwW8HwUkpoOrbqX6GOXy54-Hsxe_xuzbI3YNqk2vyrf9_oXGMcgOoA4-xgDmbh4Yyf3-3HZD7vdHDvuTwl4dz_Iu6HZh6D-5oxPt</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1844917140</pqid></control><display><type>article</type><title>Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Huang, Yuecheng ; Cheng, Wuyi ; Luo, Sida ; Luo, Yun ; Ma, Chengchen ; He, Tailin</creator><contributor>Gao, Zhong-Ke</contributor><creatorcontrib>Huang, Yuecheng ; Cheng, Wuyi ; Luo, Sida ; Luo, Yun ; Ma, Chengchen ; He, Tailin ; Gao, Zhong-Ke</creatorcontrib><description>The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index and the number of deaths from coal mining accidents were selected as the sample data. The fluctuation modes of the asynchronous correlation between the two data sets were defined according to the asynchronous correlation coefficients, symbolization, and sliding windows. We then built several directed and weighted network models, within which the fluctuation modes and the transformations between modes were represented by nodes and edges. Then, the features of the asynchronous correlation between these two variables could be studied from a perspective of network topology. We found that the correlation between the price index and the accidental deaths was asynchronous and fluctuating. Certain aspects, such as the key fluctuation modes, the subgroups characteristics, the transmission medium, the periodicity and transmission path length in the network, were analyzed by using complex network theory, analytical methods and spectral analysis method. These results provide a scientific reference for generating warnings for coal mining accidents based on economic indices.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0167198</identifier><identifier>PMID: 27902748</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accidental deaths ; Accidents ; Accidents, Occupational - mortality ; Analysis ; Analytical methods ; China ; Coal ; Coal - economics ; Coal mines ; Coal Mining ; Computer and Information Sciences ; Correlation ; Correlation coefficient ; Correlation coefficients ; Crude oil ; Crude oil prices ; Data processing ; Engineering and Technology ; Engineering schools ; Fatalities ; Forecasts and trends ; Humans ; Methods ; Mining accidents &amp; safety ; Mortality ; Occupational safety and health ; People and Places ; Periodicity ; Physical Sciences ; Price indexes ; Safety and security measures ; Safety research ; Social Sciences ; Spectral analysis ; Statistics as Topic ; Subgroups ; Time series ; Topology</subject><ispartof>PloS one, 2016-11, Vol.11 (11), p.e0167198-e0167198</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Huang et al 2016 Huang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3</citedby><cites>FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1844917140/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1844917140?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27902748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gao, Zhong-Ke</contributor><creatorcontrib>Huang, Yuecheng</creatorcontrib><creatorcontrib>Cheng, Wuyi</creatorcontrib><creatorcontrib>Luo, Sida</creatorcontrib><creatorcontrib>Luo, Yun</creatorcontrib><creatorcontrib>Ma, Chengchen</creatorcontrib><creatorcontrib>He, Tailin</creatorcontrib><title>Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index and the number of deaths from coal mining accidents were selected as the sample data. The fluctuation modes of the asynchronous correlation between the two data sets were defined according to the asynchronous correlation coefficients, symbolization, and sliding windows. We then built several directed and weighted network models, within which the fluctuation modes and the transformations between modes were represented by nodes and edges. Then, the features of the asynchronous correlation between these two variables could be studied from a perspective of network topology. We found that the correlation between the price index and the accidental deaths was asynchronous and fluctuating. Certain aspects, such as the key fluctuation modes, the subgroups characteristics, the transmission medium, the periodicity and transmission path length in the network, were analyzed by using complex network theory, analytical methods and spectral analysis method. These results provide a scientific reference for generating warnings for coal mining accidents based on economic indices.</description><subject>Accidental deaths</subject><subject>Accidents</subject><subject>Accidents, Occupational - mortality</subject><subject>Analysis</subject><subject>Analytical methods</subject><subject>China</subject><subject>Coal</subject><subject>Coal - economics</subject><subject>Coal mines</subject><subject>Coal Mining</subject><subject>Computer and Information Sciences</subject><subject>Correlation</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Crude oil</subject><subject>Crude oil prices</subject><subject>Data processing</subject><subject>Engineering and Technology</subject><subject>Engineering schools</subject><subject>Fatalities</subject><subject>Forecasts and trends</subject><subject>Humans</subject><subject>Methods</subject><subject>Mining accidents &amp; safety</subject><subject>Mortality</subject><subject>Occupational safety and health</subject><subject>People and Places</subject><subject>Periodicity</subject><subject>Physical Sciences</subject><subject>Price indexes</subject><subject>Safety and security measures</subject><subject>Safety research</subject><subject>Social Sciences</subject><subject>Spectral analysis</subject><subject>Statistics as Topic</subject><subject>Subgroups</subject><subject>Time series</subject><subject>Topology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYqPwDxBEQkJw0eKv2MkNUlUYVBoagolby3GOW1epXewEtn-Pu2ZTg3Yx5cLROc95fT58suwlRjNMBf6w8X1wqp3tvIMZwlzgqnyUneKKkikniD4--j_JnsW4QaigJedPsxMiKkQEK0-z7Rmorg8Qc2_ybg35PF47vQ7e-T7mCx8CtKqz3uU1dH8B3A20WFunkle1-fdgNeRL18BVrlxzMH6zzrpVPtfaNuC6ZPmUrlnH59kTo9oIL4Zzkl2efb5cfJ2eX3xZLubnUy1I0U1rpBXCpSlVgwRuVI0FBs5ZgakmjGuDa1QpLLgxWIFCTaqd1UzQQtDkpZPs9UF21_ooh0ZFiUvGqiTFUCKWB6LxaiN3wW5VuJZeWXlj8GElVeisbkGKBqESSGMqQxknpoKUAiOkNlwJKGnS-jjc1tdbaHQqOKh2JDr2OLuWK_9HpnIQoXuBd4NA8L97iJ3c2qihbZWDNIWUNy8pqiokHoCyghScpIBJ9uY_9P5GDNRKpVqtMz6lqPeics4EIbgktEjU7B4qfQ1srU4P0NhkHwW8HwUkpoOrbqX6GOXy54-Hsxe_xuzbI3YNqk2vyrf9_oXGMcgOoA4-xgDmbh4Yyf3-3HZD7vdHDvuTwl4dz_Iu6HZh6D-5oxPt</recordid><startdate>20161130</startdate><enddate>20161130</enddate><creator>Huang, Yuecheng</creator><creator>Cheng, Wuyi</creator><creator>Luo, Sida</creator><creator>Luo, Yun</creator><creator>Ma, Chengchen</creator><creator>He, Tailin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20161130</creationdate><title>Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths</title><author>Huang, Yuecheng ; Cheng, Wuyi ; Luo, Sida ; Luo, Yun ; Ma, Chengchen ; He, Tailin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accidental deaths</topic><topic>Accidents</topic><topic>Accidents, Occupational - mortality</topic><topic>Analysis</topic><topic>Analytical methods</topic><topic>China</topic><topic>Coal</topic><topic>Coal - economics</topic><topic>Coal mines</topic><topic>Coal Mining</topic><topic>Computer and Information Sciences</topic><topic>Correlation</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Crude oil</topic><topic>Crude oil prices</topic><topic>Data processing</topic><topic>Engineering and Technology</topic><topic>Engineering schools</topic><topic>Fatalities</topic><topic>Forecasts and trends</topic><topic>Humans</topic><topic>Methods</topic><topic>Mining accidents &amp; safety</topic><topic>Mortality</topic><topic>Occupational safety and health</topic><topic>People and Places</topic><topic>Periodicity</topic><topic>Physical Sciences</topic><topic>Price indexes</topic><topic>Safety and security measures</topic><topic>Safety research</topic><topic>Social Sciences</topic><topic>Spectral analysis</topic><topic>Statistics as Topic</topic><topic>Subgroups</topic><topic>Time series</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Yuecheng</creatorcontrib><creatorcontrib>Cheng, Wuyi</creatorcontrib><creatorcontrib>Luo, Sida</creatorcontrib><creatorcontrib>Luo, Yun</creatorcontrib><creatorcontrib>Ma, Chengchen</creatorcontrib><creatorcontrib>He, Tailin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Yuecheng</au><au>Cheng, Wuyi</au><au>Luo, Sida</au><au>Luo, Yun</au><au>Ma, Chengchen</au><au>He, Tailin</au><au>Gao, Zhong-Ke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-11-30</date><risdate>2016</risdate><volume>11</volume><issue>11</issue><spage>e0167198</spage><epage>e0167198</epage><pages>e0167198-e0167198</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The features of the asynchronous correlation between accident indices and the factors that influence accidents can provide an effective reference for warnings of coal mining accidents. However, what are the features of this correlation? To answer this question, data from the China coal price index and the number of deaths from coal mining accidents were selected as the sample data. The fluctuation modes of the asynchronous correlation between the two data sets were defined according to the asynchronous correlation coefficients, symbolization, and sliding windows. We then built several directed and weighted network models, within which the fluctuation modes and the transformations between modes were represented by nodes and edges. Then, the features of the asynchronous correlation between these two variables could be studied from a perspective of network topology. We found that the correlation between the price index and the accidental deaths was asynchronous and fluctuating. Certain aspects, such as the key fluctuation modes, the subgroups characteristics, the transmission medium, the periodicity and transmission path length in the network, were analyzed by using complex network theory, analytical methods and spectral analysis method. These results provide a scientific reference for generating warnings for coal mining accidents based on economic indices.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27902748</pmid><doi>10.1371/journal.pone.0167198</doi><tpages>e0167198</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2016-11, Vol.11 (11), p.e0167198-e0167198
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1844917140
source Publicly Available Content Database; PubMed Central
subjects Accidental deaths
Accidents
Accidents, Occupational - mortality
Analysis
Analytical methods
China
Coal
Coal - economics
Coal mines
Coal Mining
Computer and Information Sciences
Correlation
Correlation coefficient
Correlation coefficients
Crude oil
Crude oil prices
Data processing
Engineering and Technology
Engineering schools
Fatalities
Forecasts and trends
Humans
Methods
Mining accidents & safety
Mortality
Occupational safety and health
People and Places
Periodicity
Physical Sciences
Price indexes
Safety and security measures
Safety research
Social Sciences
Spectral analysis
Statistics as Topic
Subgroups
Time series
Topology
title Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T18%3A16%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Features%20of%20the%20Asynchronous%20Correlation%20between%20the%20China%20Coal%20Price%20Index%20and%20Coal%20Mining%20Accidental%20Deaths&rft.jtitle=PloS%20one&rft.au=Huang,%20Yuecheng&rft.date=2016-11-30&rft.volume=11&rft.issue=11&rft.spage=e0167198&rft.epage=e0167198&rft.pages=e0167198-e0167198&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0167198&rft_dat=%3Cgale_plos_%3EA472218235%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c725t-b0ca018f8ad071dab171e664513c246cf1b09a176ff1aea0d7194b4735736cf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1844917140&rft_id=info:pmid/27902748&rft_galeid=A472218235&rfr_iscdi=true