linear regression model
[数] 线性回归模型
2026-03-21 17:33 浏览次数 16
[数] 线性回归模型
the result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
实验结果表明,本文提出的水质反演模型较常规的线性回归模型和传统的神经网络模型有更高的反演精度。
based on analyzing the traditional ones, the improvement of fuzzy linear regression model is put forward and fuzzy isodata clustering analysis model is built for long-term load forecasting.
其中,模糊线性回归预测模型和基于软分类空间的模糊isodata聚类分析预测模型较传统模型有改进,预测精度得到了进一步提高。
the expenditure of the funds for scientific research is predicted by means of the gm(1,1)model and the linear regression model with high accuracy.
本文运用了灰色gm(1,1)模型及线性回归模型对科技经费投入进行预测,从实际算例可知其精确度是相当高的。
consider the linear regression model by the robust universal least squares method for the first time, the robust universal least squares estimator is attained.
首次用抗差泛最小二乘法考虑线性回归模型,得到了抗差泛最小二乘估计;
the comparison demonstrates that the model is superior to linear regression model in precision.
精度检验合格,经比较该模型预测精度优于线性回归模型的预测精度。
trends in dengue incidence were analysed using the prais–winsten generalized linear regression model for time series.
利用prais–winsten生成的时间序列线性回归模型对登革热发病率趋势进行了分析。
secondly, based on the system, evaluation model has set up by utilizing statistical linear regression model method.
其次,在此评价指标体系的基础上,利用统计中的线性回归模型的方法建立了评价模型。
according to the data of housing loan, a linear regression model is set up based on the value of right per unit area of house and the data of the loan amount per unit area of house.
根据实际房贷数据,用单位贷款金额和单位权利价值建立一个线性回归模型。
this article studies the variances and variance estimators of ols parameter estimators of a linear regression model with stationary but correlated errors.
线性回归模型误差项自相关会使通常的方差估计量出现偏差,而基于通常的方差估计量的统计检验和推断预测也就变得不可靠。
for the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
针对负荷影响因素的复杂性和不确定性,结合模糊数学和线性回归模型,讨论应用模糊线性回归模型预测负荷的变化区间。
after that, a multiple linear regression model was built in accordance with theoretical analysis.
再次,根据理论分析构建一个多元线性回归模型;
the practical application indicates that the improved fuzzy linear regression model is superior to the routine fuzzy linear regression model.
实际应用表明,改进型模糊线性回归预测模型预测结果优于模糊线性回归模型;
then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上,通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
linear regression model that can be used to research risk, insurance, portfolio and also can be applied to expect is most common used econometrics model.
线性回归模型是最常用的经济计量模型,用于研究风险、保险、资产组合等经济问题,也可以用作经济预测。
by introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
将模糊集理论引入多元线性回归中,通过模糊控制变量,可以得出更符合实际,也更容易为人所理解的回归模型。
this paper considers the estimation in the linear regression model under the criterion of minimizing the sum of absolute errors.
本文考虑在绝对误差和最小準则下的线性回归模型估计。