【摘要】 正交试验设计是农业科学研究中重要的方法之一,本研究以非数量与数量混杂的多因素、多水平正交试验为例,将回归分析法应用于重复正交试验选优分析中,能够有效解决因素间可能存在的交互作用和可能受固定水平限制对选优的干扰,同时能够精确分析模型偏差,全面地揭示各研究因素与试验指标间的关系,客观地反映指标的实际内涵。更多还原

【Abstract】 The repeated orthogonal trial is an important method in the agricultural science research,and is widely used in multilevel regression collocation optimization and important factor analysis of agricultural disciplines due to its advantages of typicality and comprehensive comparability.However,the great deviation in optimization analysis was found in the orthogonal trial of significant interaction.Taking multi-factors orthogonal design of non-quantitative and mixed-quantitative as an example,This study developed the higher polynomial regression model to improve the orthogonal trial optimization method,and this method not only solved the possible interaction among factors and the disturbance of the fixed level limiting for excellent selection,but also explained accurately the model deviation and disclosed the relationship between the research factors and trial indicators.更多还原