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The multiple linear regression modelling algorithm ABSOLUT v1.0 for weather-based crop yield prediction and its application to Germany at district level

机译：基于天气的作物产量预测的多线性回归建模算法Absolut V1.0及其在地区德国的应用

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Tobias Conradt;
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1. Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction [J] . AlbertoGonzalez-Sanchez, JuanFrausto-Solis, WaldoOjeda-Bustamante ScientificWorldJournal . 2014,第3期

机译：作物产量预测线性和非线性回归模型的属性选择影响
2. The effectiveness of weather-based index insurance and area-yield crop insurance: how reliable are ex post predictions for yield risk reduction? [J] . Bokusheva R., Breustedt G. Quarterly Journal of International Agriculture . 2012,第2期

机译：基于天气的指数保险和单产作物保险的有效性：事后预测降低单产风险的可靠性如何？
3. Comparison of hot rolled steel mechanical property prediction models using linear multiple regression, non-linear multiple regression and non-liner artificial neural networks [J] . D.M. Jones, J. Watton, K.J. Brown Ironmaking & Steelmaking . 2005,第5期

机译：基于线性多元回归，非线性多元回归和非线性人工神经网络的热轧钢力学性能预测模型的比较
4. Multiple linear regression modelling for shortterm real-time prediction of hourly ozone, NO_2 and NO levels in the area of Bilbao [C] . G. Ibarra, A. Elias, M. V. Albizu, International Conference on Development and Application of Computer Techniques to Environmental Studies . 2000

机译：用于毕尔巴鄂地区的每小时臭氧的短期实时预测的多线性回归建模
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

机译：六种预测公司破产的模型的比较：多个线性回归分析，多个线性判别分析，逐步回归分析，逐步判别分析，多个带岭点回归的线性回归分析，以及多个线性离散
6. Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction [O] . Alberto Gonzalez-Sanchez, Juan Frausto-Solis, Waldo Ojeda-Bustamante -1

机译：属性选择对作物产量预测的线性和非线性回归模型的影响
7. The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest [O] . Magdalena Piekutowska, Gniewko Niedbała, Tomasz Piskier, 2021

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The multiple linear regression modelling algorithm ABSOLUT v1.0 for weather-based crop yield prediction and its application to Germany at district level

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