| 基于灰色马氏链的企业储蓄存款额预测 |
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| 引用本文： | 姜洪敏,杨德平.基于灰色马氏链的企业储蓄存款额预测[J].青岛大学学报(自然科学版),2012,25(3):97-101. |
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| 作者姓名： | 姜洪敏 杨德平 |
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| 作者单位： | 青岛大学经济学院,山东青岛,266071 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 选取中国邮政储蓄银行有限责任公司青岛分行的企业储蓄存款额为样本数据,采用灰色模型GM（1,1）对储蓄存款额进行预测,然后以灰色预测值为基准,使用马氏链方法再对其进行未来状态区间预测,得到灰色马氏链的存款额预测值。结果表明,通过该方法得到的预测值与存款额真实值之间的误差很小。与灰色模型相比,这一方法可以大大提高预测精度。
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| 关 键 词： | 灰色马氏链 GM（1 1）模型 储蓄存款 邮政储蓄 |
Prediction of Corporations' Savings Deposit Based on Gray Theory and Gray-Markov Model |
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| JIANG Hong-min
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YANG De-ping.Prediction of Corporations' Savings Deposit Based on Gray Theory and Gray-Markov Model[J].Journal of Qingdao University(Natural Science Edition),2012,25(3):97-101. |
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| Authors: | JIANG Hong-min YANG De-ping |
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| Institution: | (College of Economics,Qingdao University,Qingdao 266071,China) |
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| Abstract: | Taking the data from Qingdao Branch,Postal Savings Bank of China as sample,GM(1,1) was used to predict the savings deposit.Markov chain approach was used to predict the future state based on the above analysis.Results show that this method can improve prediction accuracy compared with the traditional GM(1,1). |
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| Keywords: | gray-markov predicting GM(1 1) savings deposit of corporation in banks postal savings |
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