Since 2014
The fire data research——based on binary regression analysis
Advances in Asian Social Science
View Archive Info| Field | Value | |
| Title |
The fire data research——based on binary regression analysis
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| Creator |
Huang, xiulan; University of Shanghai for Science and Technology
Lu, xiaoli; University of Shanghai for Science and Technology Qian, man |
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| Subject |
binary regression; fire injury number; burned building; direct loss;
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| Description |
In this paper, With 2003 to 2007 national statistical fire data as the research object, analysis the relationship of the number of injured in the fire, the burned construction area and direct economic losses by using binary egression analysis methods . Statistical analysis results show that the fire of casualty and direct economic loss into obvious positive correlation, but burned building area and direct economic losses are photograph sex is not obvious. Finally, targeted fire prevention measures such as strengthening public places of entertainment guard, establish and perfect the fire safety organization, implementation of rules and regulations ,pay special attention to daily fire management and so on, so as to achieve the purpose of reducing the economic losses.
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| Publisher |
World Science Publisher
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| Contributor |
—
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| Date |
2012-11-02
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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| Format |
application/pdf
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| Identifier |
http://worldsciencepublisher.org/journals/index.php/AASS/article/view/971
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| Source |
Advances in Asian Social Science; Vol 3, No 3 (2012); 713-716
2167-6429 |
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| Language |
eng
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| Relation |
http://worldsciencepublisher.org/journals/index.php/AASS/article/view/971/757
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| Rights |
Copyright NoticeProposed Creative Commons Copyright Notices1. Proposed Policy for Journals That Offer Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).Proposed Policy for Journals That Offer Delayed Open AccessAuthors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
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