摘要
本文根据最小二乘原理提出随机区组设计二因素试验结果的二次回归分析法，包括建立试验指标与试验因素间的二元二次回归方程和显著性检验。此法开辟了分析因子试验结果的新途径，能从试验结果中提取新的重要信息，从而提高了因子试验结果的利用率，最后举例说明。
Based on the principle of least squares, this paper deals with the application of the quadratic regression analysis method to the analysis of the data of randomized block design with two experimental factors. The quadratic regression equation of the experimental target with two factors and tie test of significance are given. This approach indicates a new way to analyze the results of factor experiment. Owing to more useful information gained, this appproach is by far more efficient in comparison with the analysis of an ordinary randomized block design. A numerical illustration is given. This project is supported by National Natural Science Fundation.
出处
《四川农业大学学报》
CSCD
1995年第1期12-17,共6页
Journal of Sichuan Agricultural University
基金
国家自然科学基金
关键词
最小二乘法
回归分析
随机区组设计
显著性检验
LEAST SQUARES METHODS
REGRESSION ANALYSIS
RANDOMIZED BLOCK DESIGN
SIGNIFICANCE TEST.
