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jensen s model
相关语句
  jensen模型的敏感性
     Sensitivity Analysis of Deficit Irrigation for Jensen's Model
     非充分灌溉制度对Jensen模型的敏感性分析
短句来源
     Sensitivities of optimal water consumptions in each growing stage and yield for Jensen's model are analyzed.
     分析了非充分灌溉中作物各生育阶段最优耗水量及产量对Jensen模型的敏感性
短句来源
     Based on optimization model of irrigation program, the formula for sensitivity of deficit irrigation program for Jensen's model is built.
     基于灌溉制度优化模型,构建了非充分灌溉制度对Jensen模型的敏感度计算公式,并以北京永乐店试验站1998~1999年度冬小麦的水分生产函数为例,进行了非充分灌溉制度对Jensen模型的敏感性分析。
短句来源
  “jensen ' s model”译为未确定词的双语例句
     Reasons and Solutions of Negative Values of Sensitive Indexes of Jensen' s Model
     Jensen模型敏感指数出现负值的原因及解决方法
     Based on winter wheat irrigation experimental data measured in experiment station of Yong-Le-Dian from 1998 to 1999 and 1999 to 2000,Jensen's model sensitive indexes were obtained by robust regression method found on the linearization method,and compared its results with of ordinary regression method.
     基于北京永乐店试验站1998~1999和1999~2000年度的冬小麦灌溉试验资料,将Jensen模型线性化后利用稳健回归方法求得各阶段的水分敏感指数,并与常规的多元线性回归方法进行了比较。
短句来源
     Through pot experiment, taking summer maize as example, Jensen's Model was applied to study he effect of N> P nutrition on crop's water sensitivity index and physiological and ecological parameters.
     通过盆栽试验,以夏玉米为例,采用Jensen模型研究了无机营养对作物水分敏感性及生理参数的影响。
短句来源
     As an example, based on experimental data measured in Experiment Station of Yong-Le-Dian from October 1998 to June 1999, sensitivities of deficit irrigation for Jensen's model are analyzed.
     结果表明:1Jensen模型参数λi的波动对最优灌溉制度以及产量的计算结果影响较小;
短句来源
  相似匹配句对
     Application of Jensen inequality
     琴生(Jensen)不等式的应用
短句来源
     The Generalization of Jensen's Inequalities
     詹生(Jensen)不等式的推广
短句来源
     Jensen Inequation and its Applications
     Jensen不等式及其应用
短句来源
     Jensen's Inequality and Its Applications
     Jensen不等式及其应用
短句来源
     Jensen Inequality and it's Application
     颜森不等式及其应用
短句来源
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  jensen s model
Therefore there is need for simplerestimation models, such as the Doorenbos and Kassam's modeland Jensen's model.
      
To make sense of how this specific community of practice formed, Tuckman and Jensen's model serves as a frame.
      


It is not reasonable that sensitive indexes of Jensens mode as the crop-water production function are negative.The reasons of negative values of Jensen's model were studied in two aspeccts,the application field and the randomicity.The solutions should be:(1) data used to establish the model must be in the application field of Jensen's model; (2) it is feasible that the number of growth stages of crop is restricted to 4~6; (3) it is suggested that the number...

It is not reasonable that sensitive indexes of Jensens mode as the crop-water production function are negative.The reasons of negative values of Jensen's model were studied in two aspeccts,the application field and the randomicity.The solutions should be:(1) data used to establish the model must be in the application field of Jensen's model; (2) it is feasible that the number of growth stages of crop is restricted to 4~6; (3) it is suggested that the number of the experiment treatments is 9~14; (4) the experiment scheme should be reasonable, that is, the determinant value of the information matrix must be as large as possible; (5)the experiment precision should be increased through selecting uniform experiment area, improving irrigation uniformity and increasing observation sites.

对于作物水分生产函数的Jensen模型 ,其敏感指数出现负值的现象是不合理的。从模型的适用范围和其敏感指数估计值的随机波动性两个方面分析了敏感指数出现负值的原因 ,并提出了解决方法 :(1)利用适用范围内的数据来建立Jensen模型 ;(2 )作物生育阶段不宜划分过多 ,一般以 4~ 6个为宜 ;(3)试验处理数可在 9~ 14范围内确定 ;(4 )合理设计试验方案 ,尽量使信息矩阵的行列式值取最大 ;(5 )通过选择土壤空间变异性较小的地块作为试验小区 ,提高灌水均匀度 ,增加小区内观测点的个数等方法来提高试验精度

Sensitivities of optimal water consumptions in each growing stage and yield for Jensen's model are analyzed. Based on optimization model of irrigation program, the formula for sensitivity of deficit irrigation program for Jensen's model is built. As an example, based on experimental data measured in Experiment Station of Yong-Le-Dian from October 1998 to June 1999, sensitivities of deficit irrigation for Jensen's model are analyzed. Results show that...

Sensitivities of optimal water consumptions in each growing stage and yield for Jensen's model are analyzed. Based on optimization model of irrigation program, the formula for sensitivity of deficit irrigation program for Jensen's model is built. As an example, based on experimental data measured in Experiment Station of Yong-Le-Dian from October 1998 to June 1999, sensitivities of deficit irrigation for Jensen's model are analyzed. Results show that sensitivities of deficit irrigation for Jensen's model are low, sensitivities of the optimal water consumptions in jointing-heading stage and heading-filling stage for Jensen's model are lower then sensitivities of the optimal water consumptions in other stages, and sensitivities of the optimal water consumptions in each growing stage and yield for sensitive indexes of jointing-heading stage and heading-filling stage are lower then for sensitive indexes of other stages.

分析了非充分灌溉中作物各生育阶段最优耗水量及产量对Jensen模型的敏感性。基于灌溉制度优化模型,构建了非充分灌溉制度对Jensen模型的敏感度计算公式,并以北京永乐店试验站1998~1999年度冬小麦的水分生产函数为例,进行了非充分灌溉制度对Jensen模型的敏感性分析。结果表明:1Jensen模型参数λi的波动对最优灌溉制度以及产量的计算结果影响较小;2与返青—拔节、灌浆—成熟阶段相比,拔节—孕穗、孕穗—灌浆阶段的最优耗水量计算结果受参数λi波动的影响比较小;3与返青—拔节、灌浆—成熟阶段相比,拔节—孕穗、孕穗—灌浆阶段的Jensen模型参数λi波动对各阶段最优耗水量及产量的计算结果影响较小。

Using robust regression method,crop-water production function was built to improve the model resistibility for abnormal experimental data.Based on winter wheat irrigation experimental data measured in experiment station of Yong-Le-Dian from 1998 to 1999 and 1999 to 2000,Jensen's model sensitive indexes were obtained by robust regression method found on the linearization method,and compared its results with of ordinary regression method.Results show that the robust regression method is...

Using robust regression method,crop-water production function was built to improve the model resistibility for abnormal experimental data.Based on winter wheat irrigation experimental data measured in experiment station of Yong-Le-Dian from 1998 to 1999 and 1999 to 2000,Jensen's model sensitive indexes were obtained by robust regression method found on the linearization method,and compared its results with of ordinary regression method.Results show that the robust regression method is better than ordinary regression method at precision and resistibility for abnormal experimental data.

针对作物水分生产函数建立中存在对异常值抵抗能力较弱的问题,采用稳健回归方法建立作物水分生产函数的Jensen模型。基于北京永乐店试验站1998~1999和1999~2000年度的冬小麦灌溉试验资料,将Jensen模型线性化后利用稳健回归方法求得各阶段的水分敏感指数,并与常规的多元线性回归方法进行了比较。结果表明,对于Jensen模型的建立,稳健回归方法精度较高、抵抗数据污染的能力较强,优于传统的多元线性回归方法。

 
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