We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多项式回归方法建立了冬小麦生产经济收益预测的多元正交多项式回归模型。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
The results show that the forecasting precision of the PPR model is much better than that of stepwise regression (SR) model.
结果表明，PPR模型的预测效果明显优于逐步回归预测模型，对福建热带气旋年季频数具有较好的预测能力。
Using the information of rice phenology observed in Kai- yuan City and with the method of multiple regression, a long term forecasting model for rice yield was established.
本文以辽宁省开原市水稻物候观测实际资料为例，采用多重回归的方法，建立了影响水稻产量的多时效预报模式。
According to the economic indices of recent years, this paper constructs an econometric model of civil automobile by linear regression method and does some estimating and forecasting.
本文根据近年来国内各项经济指标，运用线性回归方法建立了民用汽车需求的计量经济模型，并对模型进行评价和预测。
In addition, some information of the future value of random disturbance term in regression analysis is delivered by complex model, so that the forecasting accuracy is improved.
并且组合模型进一步给出了回归分析中误差扰动项未来值的一些信息，提高了预测精度。
Based on the regression fitting and Markov chain forecast method, the "Regression-Markov" integration model for forecasting road accidents is built in this paper.
在回归拟合函数的基础上，引入马尔可夫链预测理论，建立了道路交通事故的“回归-马尔可夫”复合预测模型。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
建立了用电需求量与主要影响因素之间的多元线性回归预测模型，经过回归检验，确定了优化的多元线性回归预测模型。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
Maize dwarf Mosaic was predicted using growth model forecasting method, Markov chains forecasting method and regression model forecasting method. And yield loss of MDM was assessed.
利用生长模型预测法、马尔科夫链预测法和回归模型预测法对玉米矮花叶病发生流行进行预测，并对玉米矮花叶病损失估计进行了初步探讨。
Thus the regression diagnosis prediction model for city air quality forecasting is proposed.
针对这些问题提出了城市空气质量的回归诊断预报模型。
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
Methods: Based on the first page of the case data from 1998 to 2000, the cost forecasting model of the hospitalization expenditure were established, applying stepwise regression analysis.
方法：根据1998至2 0 0 0年的住院大病病案首页，采用多元逐步回归分析等统计方法构建住院费用预测模型。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
Poisson regression model is usually used in forecasting claim counts, but when the data appears to be over-dispersed, it will be not suitable.
索赔次数预测模型中通常考虑泊松回归模型，但当索赔次数中出现过离散问题时，泊松回归模型就不再适合。
Finally an optimal combinatorial forecasting model for fire in China has been established through combining the Grey and regression models.
再将最佳回归模型与最佳灰色模型有机地结合起来建立中国火灾最佳灰色回归组合预测模型。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
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