Multiple Linear Regression Forecast Model of Municipal Solid Waste in Beijing Satellite Towns (KM201010016014).

机译：北京卫星城镇生活垃圾的多元线性回归预测模型（KM201010016014）。

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Based on the theory of multiple linear regression model, the municipal solid waste prediction of Beijing satellite towns was studied. The main factors of multiple linear regression forecast model of Beijing satellite waste output were defined through the research. They were gross population, gross domestic product, total social retail sales of consumer goods and gas rate. On this basis, a forecast model was built up and the accuracy of forecast model was calibrated. At the same time, the amount of waste produced for 2010 to 2014 were predicted. The prediction will provide guidance to the construction of municipal solid waste treatment in Beijing satellite towns.

机译：基于多元线性回归模型理论，研究了北京卫星城镇生活垃圾的预测。通过研究确定了北京卫星废弃物产量多元线性回归预测模型的主要因素。它们是总人口，国内生产总值，社会消费品零售总额和汽油价格。在此基础上，建立了预测模型，并对预测模型的准确性进行了标定。同时，对2010年至2014年产生的废物量进行了预测。该预测将为北京卫星城镇的城市生活垃圾处理建设提供指导。

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来源
《The Fifth International Conference on Waste Management and Technology.》|2010年|p.60-64|共5页
会议地点 Beijing(CN);Beijing(CN)
作者
Ying LI; Jing-yi LI; Wei-ran LI;
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作者单位

School of Environment and Energy Engineering, Beijing university of civil engineering and architecture, Beijing, China;

School of Environment and Energy Engineering, Beijing university of civil engineering and architecture, Beijing, China;

School of Environment and Energy Engineering, Beijing university of civil engineering and architecture, Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类废物处理与综合利用;废物处理与综合利用;
关键词
Beijing satellite towns; output of municipal solid waste; multiple linear regression; prediction;

机译：北京卫星城；城市生活垃圾产量；多元线性回归；预测;

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专利

1. Forecasting the distribution of heavy metals in soil and groundwater near municipal solid waste dumpsites using linear regression [J] . Srigiri Srikanth, Madasu Hanmandlu, Vysetti Balaram, Current Science: A Fortnightly Journal of Research . 2014,第1期

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2. Forecasting the distribution of heavy metals in soil and groundwater near municipal solid waste dumpsites using linear regression [J] . Srigiri Srikanth, Madasu Hanmandlu, Vysetti Balaram, Current Science: A Fortnightly Journal of Research . 2014,第1期

机译：利用线性回归预测城市生活垃圾场附近土壤和地下水中重金属的分布
3. A two-stage support-vector-regression optimization model for municipal solid waste management — A case study of Beijing, China [J] . C. Dai, Y.P. Li, G.H. Huang Journal of Environmental Management . 2011,第12期

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4. Multiple Linear Regression Forecast Model of Municipal Solid Waste in Beijing Satellite Towns (KM201010016014). [C] . Ying LI, Jing-yi LI, Wei-ran LI International Conference on Waste Management and Technology . 2010

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5. A COMPARISON OF SIX MODELS FOR PREDICTING CORPORATE BANKRUPTCY: MULTIPLE LINEAR REGRESSION ANALYSIS, MULTIPLE LINEAR DISCRIMINANT ANALYSIS, STEPWISE REGRESSION ANALYSIS, STEPWISE DISCRIMINANT ANALYSIS, MULTIPLE LINEAR REGRESSION ANALYSIS WITH RIDGE REGRESSION, AND MULTIPLE LINEAR DISCRIMINANT ANALYSIS WITH BIASED MINIMUM CHI-SQUARE RULE [D] . MAPP, JOHNNIE ALBERT. 1981

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6. Comparative study of predicting hospital solid waste generation using multiple linear regression and artificial intelligence [O] . Somayeh Golbaz, Ramin Nabizadeh, Haniye Sadat Sajadi 2019

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7. Modeling the Energy Content of Municipal Solid Waste Using Multiple Regression Analysis [O] . Juin-I Liu, Rajendra D. Paode, Thomas M. Holsen 1996

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Multiple Linear Regression Forecast Model of Municipal Solid Waste in Beijing Satellite Towns (KM201010016014).

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