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Fitting of Statistical Models for Paddy Crop Area of Selected Districts of Karnataka after BIAS Correction

机译:偏校正后卡纳塔克邦选定区稻田区统计模型的统计模型

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摘要

The BIAS correction is done based on 17 years (1998-2015) data on area and production for Paddy crop at selected districts of Karnataka such as Bellary, Davangere and Raichur. The study revealed that MDM recorded least value of normalized root mean square error (NRMSE) for paddy crop area in all the selected districts compared to DM method. Auto correlation was found to be absent in corrected paddy crop area of all the selected districts. Thus, Model fitting was done using linear and nonlinear modelsand the results showed that cubic model was the best fit with high R2, Adj. R2 and least root mean square error (RMSE) value for all the districts.
机译:基于17年(1998-2015)关于卡纳塔克卡的选定区的面积和生产的地区和生产数据,如Bellary,Davangere和Raichur,基于17年(1998-2015) 该研究表明,与DM方法相比,MDM记录了所有所选区内的圆形作物区域的标准化根均方误差(NRMSE)。 发现自动相关性在所有选定地区的纠正稻田区域中不存在。 因此,使用线性和非线性模型进行模型配件,结果表明,立方模型是最佳的R2,adj。 所有地区的R2和最小根均方误差(RMSE)值。

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