[1]范震,马开平,姜顺婕,等.基于改进GM(1,N)模型的我国大豆价格影响因素分析及预测研究[J].大豆科学,2016,35(05):847-852.[doi:10.11861/j.issn.1000-9841.2016.05.0847]
 FAN Zhen,MA Kai-ping,JIANG Shun-jie,et al.Influence Factors Analysis and Price Prediction of Soybean in China Based on Improved GM (1, N) Model[J].Soybean Science,2016,35(05):847-852.[doi:10.11861/j.issn.1000-9841.2016.05.0847]
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基于改进GM(1,N)模型的我国大豆价格影响因素分析及预测研究

参考文献/References:

[1]刘家富,周慧秋,李孝忠国内大豆市场价格波动及其影响因素分析[J].东北农业大学学报(社会科学版),2010,8(4):10-13.(Liu J F, Zhou H Q, Li X Z. Analysis on price fluctuation and affecting factors of soybean in China[J]. Journal of Northeast Agricultural University,2010,8(4):10-13.)

[2]许世卫,李哲敏,李干琼, 等. 农产品市场价格短期预测研究进展[J].中国农业科学,2011,44(17):3666-3675.(Xu S W, Li M Z, Li G Q, et al. Advances in research of short-term forecasting methods of agricultural product price[J].Scientia Agricultura Sinica ,2011, 44(17):3666-3675.)
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[7]朱婧,范亚东,徐勇.基于改进GM(1,1)模型的中国大豆价格预测[J] .大豆科学,2016,35(2):315-319.(Zhu J, Fan Y D, Xu Y. Soybean price prediction in China based on modified GM(1,1) model [J].Soybean Science, 2016, 35(2): 315-319.)
[8]刘欢,张冬青.基于分位数回归的国产大豆价格影响因素分析[J].大豆科学,2014,33(5):759-763.( Liu H, Zhang D Q. Analysis on influencing factors of domestic soybean price based on quantile regression[J]. Soybean Science, 2014, 33(5): 759-763.)
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[10]谷强平,周静,杜吉到.基于贸易视角的中国大豆产业安全分析[J].大豆科学,2015,34(2):314-319.(Gu Q P, Zhou J, Du J D.China’s soybean industry safety analysis based on the perspective of trade[J].Soybean Science,2015,34(2):314-319.)

相似文献/References:

[1]刘欢,张冬青.基于分位数回归的国产大豆价格影响因素分析[J].大豆科学,2014,33(05):759.[doi:10.11861/j.issn.1000-9841.2014.05.0759]
 LIU Huan,ZHANG Dong-qing.Analysis on Influencing Factors of Domestic Soybean Price Based on Quantile Regression[J].Soybean Science,2014,33(05):759.[doi:10.11861/j.issn.1000-9841.2014.05.0759]
[2]陈昕,周曙东.贸易环境变动对国内外大豆价格传导机制的影响分析[J].大豆科学,2016,35(01):148.[doi:10.11861/j.issn.1000-9841.2016.01.0148]
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[3]高磊,张冬青,叶方如,等.基于符号回归的国产大豆价格影响因素分析[J].大豆科学,2017,36(05):782.[doi:10.11861/j.issn.1000-9841.2017.05.0782]
 GAO Lei,ZHANG Dong-qing,YE Fang-ru,et al.Analysis on Influencing Factors of Domestic Soybean Price Based on Symbolic Regression[J].Soybean Science,2017,36(05):782.[doi:10.11861/j.issn.1000-9841.2017.05.0782]
[4]徐鑫洲,马开平.基于系统动力学的我国大豆价格预测分析[J].大豆科学,2018,37(05):787.[doi:10.11861/j.issn.1000-9841.2018.05.0787]
 XU Xin-zhou,MA Kai-ping.Prediction and Analysis of Soybean Price in China Based on System Dynamics[J].Soybean Science,2018,37(05):787.[doi:10.11861/j.issn.1000-9841.2018.05.0787]

备注/Memo

基金项目:国家自然科学基金(71101072, 71301077,71401076);南京农业大学中央高校基本科研业务费人文社会科学基金(SK2016006)。第一作者简介:范震(1990-),男,硕士,主要从事预测与决策、产品市场扩散、农业系统工程等研究。E-mail: 409652452@qq.com。

更新日期/Last Update: 2016-09-25