Predict the grain output of Xinjiang Province based on the time series model
Advances in Asian Social Science
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Title |
Predict the grain output of Xinjiang Province based on the time series model
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Creator |
Xia, Yang
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Subject |
Time series model ; fitting; Trend prediction ; Logistic model
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Description |
In this paper, The variation trend for the grain output of XinjiangProvince has been analyed and forecased based on the time series model andtendency forecast model. The mathematical models are established by using both thehistorical data from 1949 to 2011 and the weight analysis of each part are givenattention, So the predicted results are more reasonable. Furthermore, the problems ofthe grain production in Xinjiang Province are pointed out. Finally, the suggestionsand conclusions are given in view of the problems.
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Publisher |
World Science Publisher
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Contributor |
Shihezi University
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Date |
2013-02-21
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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/821
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Source |
Advances in Asian Social Science; Vol 4, No 1 (2012); 778-784
2167-6429 |
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Language |
eng
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Relation |
http://worldsciencepublisher.org/journals/index.php/AASS/article/view/821/890
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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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