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有缺失数据单因素随机区组试验资料的最小二乘法
引用本文:刘永建,潘光堂.有缺失数据单因素随机区组试验资料的最小二乘法[J].四川农业大学学报,1997,15(1):125-131.
作者姓名:刘永建  潘光堂
作者单位:四川农业大学
摘    要:本文根据最小二乘原理提出了分析有缺失数据单因素随机区组试验资料的新方法,包括处理最小二乘均数估计、方差分析和处理最小二乘均数的显著性检验。最后,介绍了新方法的电算程序设计

关 键 词:单因素随机区组试验资料  缺失数据  最小二乘法[30T]  电算程序

LEAST SQUARES METHOD FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN
Liu Yongjian,Ming Daoxn,Pan Guangtang.LEAST SQUARES METHOD FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN[J].Journal of Sichuan Agricultural University,1997,15(1):125-131.
Authors:Liu Yongjian  Ming Daoxn  Pan Guangtang
Abstract:A new method for analyzing missing data in single factor experiment with randomized block design was put forward in the light of the principle of least squares method, including estimation of least squares mean (LSM) of each treatment, analysis of variance (ANOVA) and significance test between LSMs. Finally, the computer proguam desing of the new method was introduced.
Keywords:DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN  MISSING DATA  LEAST SQUARES METHOD  COMPUTER PROGRAM  
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