يعرض 1 - 20 نتائج من 78 نتيجة بحث عن '"ARIMA模型"', وقت الاستعلام: 0.66s تنقيح النتائج
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    Academic Journal
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    Academic Journal
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    Report
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    Conference

    المؤلفون: 马铭, 任术波, 栾西, 吴建军

    المساهمون: 北京大学信息科学技术学院卫星与无线通信实验室

    المصدر: 万方

    Relation: 第八届卫星通信学术年会论文集中国通信学会卫星通信委员会.; 1183112; http://hdl.handle.net/20.500.11897/276235

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    Academic Journal

    المؤلفون: 周国强, 韩晟

    المساهمون: 天津市第二人民医院,天津,300192, 北京大学公卫学院,北京 100191, 北京大学医药管理国际研究中心,北京 100191

    Relation: 药品评价.2014,(14),15-19,23.; 810660; http://hdl.handle.net/20.500.11897/220232

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    Academic Journal

    المؤلفون: 郭轲, 王立群, 高德健, 童万民, 杨正华

    المساهمون: 北京林业大学经济管理学院, 北京大学光华管理学院与中关村科技园区海淀园博士后工作站

    المصدر: 知网 ; CSSCI

    مصطلحات موضوعية: 豆粕价格, H-P滤波, ARIMA模型

    Relation: 价格理论与实践.2014,(9),66-68.; 681285; http://hdl.handle.net/20.500.11897/200736

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    Academic Journal
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    Academic Journal

    المؤلفون: 张利斌, 文丹, 冯益

    المساهمون: 北京大学光华管理学院,北京100084/中南民族大学经济学院,武汉430074, 中南民族大学经济学院,武汉,430074

    مصطلحات موضوعية: ARIMA模型, 国内生产总值, 雪灾, ARIMA model, GDP, snow disaster

    Relation: 中南民族大学学报:自然科学版.2011,30,(4),115-119.; 875549; http://hdl.handle.net/20.500.11897/66771

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    Academic Journal
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    Academic Journal

    المؤلفون: 华鹏, 赵学民

    المساهمون: 山东科技大学信息科学与工程学院,青岛,266510, 中国人民大学统计学院,北京,100872, 北京大学经济学院,北京,100871

    المصدر: CSSCI ; 知网 ; 万方 ; http://d.g.wanfangdata.com.cn/Periodical_tjyjc201012053.aspx

    مصطلحات موضوعية: GDP, ARIMA模型, 预测

    Relation: 统计与决策.2010,(12),166-167.; 688548; http://hdl.handle.net/20.500.11897/202542

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    Dissertation/ Thesis

    المؤلفون: 朱芷宜, Zhu, Zhi-Yi

    المساهمون: 胡偉民 黃柏鈞, Hu, Wei-Min Huang, Po-Chun

    وصف الملف: 5218758 bytes; application/pdf

    Relation: 王莎莎、陳安、蘇靜與李碩(2009)。組合預測模型在中國GDP預測中的應用。山東大學學報(理學版),44(2),56-59。\n古繼寶、亓芳芳、吳劍琳(2010)。基於Gompertz模型的中國民用汽車保有量預測。技術經濟,29(1),57-62。\n沈中元(2006)。利用收入分布曲線預測中國汽車保有量。中國能源,28(8),11-15。\n冒小棟與張貞貞(2014)。基於ARIMA模型的江西省GDP的預測與分析。產業分析(商界論壇),34,259。\n張麗(2007)。天津市人均GDP時間序列模型及預測。北方經濟(學術版),3,44-46。\n\nAl-Shatti, A. S. (2014). The effect of fiscal policy on economic development in Jordan. International Business Research, 7(12), 67-76.\nBadoe, D. A., & Miller, E. J. (2000). Transportation–land-use interaction: empirical findings in North America, and their implications for modeling. Transportation Research Part D, 5(4), 235-263.\nBox, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control. Hoboken, New Jersey: John Wiley & Sons.\nButton, K., Ngoe, N., & Hine, J. (1993). Modelling vehicle ownership and use in low income countries. Journal of Transport Economics and Policy, 27(1), 51-67.\nCeylan, H., Başkan, Ö., & Ozan, C. (2018). Modeling and forecasting car ownership based on socio-economic and demographic indicators in Turkey. TeMA-Journal of Land Use, Mobility and Environment, Special issue 1, 47-66.\nCullinane, S. (2002). The relationship between car ownership and public transport provision: a case study of Hong Kong. Transport Policy, 9(1), 29-39.\nDargay, J., & Gately, D. (1997). Vehicle ownership to 2015: implications for energy use and emissions. Energy Policy, 25(14-15), 1121-1127.\nDargay, J., & Gately, D. (1999). Income`s effect on car and vehicle ownership, worldwide: 1960-2015. Transportation Research Part A: Policy and Practice, 33(2), 101-138.\nDargay, J., Gately, D., & Sommer, M. (2007). Vehicle ownership and income growth, worldwide: 1960-2030. The Energy Journal, 28(4), 143-170.\nDritsaki, C. (2015). Forecasting real GDP rate through econometric models: an empirical study from Greece. Journal of International Business and Economics, 3(1), 13-19.\nEissa, N. (2020). Forecasting the GDP per Capita for Egypt and Saudi Arabia Using ARIMA Models. Research in World Economy, 11(1), 247-258.\nHirota, K. (2007). Passenger car ownership estimation toward 2030 in Japan. Studies in Regional Science, 37(1), 25-39.\nHuo, H., & Wang, M. (2012). Modeling future vehicle sales and stock in China. Energy Policy, 43, 17-29.\nIngram, G. K., & Liu, Z. (1997). Motorization and road provision in countries and cities. World Bank Policy Research Paper (1842).\nKobos, P. H., Erickson, J. D., & Drennen, T. E. (2003). Scenario analysis of Chinese passenger vehicle growth. Contemporary Economic Policy, 21(2), 200-217.\nLam, W. H., & Tam, M. L. (2002). Reliability of territory-wide car ownership estimates in Hong Kong. Journal of Transport Geography, 10(1), 51-60.\nLescaroux, F., & Rech, O. (2008). The impact of automobile diffusion on the income elasticity of motor fuel demand. The Energy Journal, 29(1), 41-60.\nLi, S., & Zhao, P. (2015). The determinants of commuting mode choice among school children in Beijing. Journal of Transport Geography, 46, 112-121.\nModis, T. (2013). Long-term GDP forecasts and the prospects for growth. Technological Forecasting and Social Change, 80(8), 1557-1562.\nPatsalidis, A. (1977). Regional car ownership forecasting in Britain. Civil Engineering, 1977(8), 183-186.\nPendyala, R. M., Kostyniuk, L. P., & Goulias, K. G. (1995). A repeated cross-sectional evaluation of car ownership. Transportation, 22(2), 165-184.\nSmeed, R. J. (1951). Likely increases of road traffic in Great Britain. Research Note.\nTanner, J. C. (1978). Long‐term forecasting of vehicle ownership and road traffic. Journal of the Royal Statistical Society: Series A (General), 141(1), 14-41.\nWang, Y., Teter, J., & Sperling, D. (2011). China’s soaring vehicle population: even greater than forecasted? Energy Policy, 39(6), 3296-3306.\nWu, T., Zhao, H., & Ou, X. (2014). Vehicle ownership analysis based on GDP per capita in China: 1963-2050. Sustainability, 6(8), 4877-4899.\nXu, Z., Wang, X., & Jin, Y. (2014). Regional GDP prediction based on improved BP neural network model. International Journal of Multimedia and Ubiquitous Engineering, 9(4), 51-62.\nYang, Z., Jia, P., Liu, W., & Yin, H. (2017). Car ownership and urban development in Chinese cities: A panel data analysis. Journal of Transport Geography, 58, 127-134.\nYin, C., & Sun, B. (2018). Disentangling the effects of the built environment on car ownership: A multi-level analysis of Chinese cities. Cities, 74, 188-195.\nZhao, C., Nielsen, T. A. S., Olafsson, A. S., Carstensen, T. A., & Fertner, C. (2018). Cycling environmental perception in Beijing–A study of residents` attitudes towards future cycling and car purchasing. Transport Policy, 66, 96-106.; G0108255032; https://nccur.lib.nccu.edu.tw//handle/140.119/137705; https://nccur.lib.nccu.edu.tw/bitstream/140.119/137705/1/503201.pdf

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    Academic Journal
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    Academic Journal
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    Academic Journal

    المؤلفون: 易金超

    مصطلحات موضوعية: 能源需求, 单位根检验, ARIMA模型

    Relation: 消费导刊,2007,(08):20-21; GQGA200708010; http://dspace.xmu.edu.cn/handle/2288/146752

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    Academic Journal
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    Academic Journal

    المؤلفون: 王春平, 王志锋, 单杰, 王笑男

    المساهمون: 100005,中国医学科学院基础医学研究所/中国协和医科大学基础医学院, 潍坊医学院, 北京大学, 潍坊市卫生局

    مصطلحات موضوعية: ARIMA模型 时间序列 乙型肝炎

    Relation: 中国医院统计.2006,13,(3),229-232.; 768916; http://hdl.handle.net/20.500.11897/210309

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    Academic Journal

    المؤلفون: 梁桂玲, 刘颜, 邓泗沐

    المساهمون: 518036,北京大学深圳医院病案统计室,广东省深圳市, 深圳市横岗卫生监督所

    مصطلحات موضوعية: ARIMA模型 时间序列 门诊量 预测

    Relation: 中国医院统计.2006,13,(1),24-26.; 767532; http://hdl.handle.net/20.500.11897/209984

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    Academic Journal
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    Report

    المصدر: 牛丽肖,王正方,臧传治,等. 一种基于小波变换和ARIMA的短期电价混合预测模型[J]. 计算机应用研究,2014,31(3):688-691.