有缺失数据单因素随机区组试验资料的最小二乘法

doi:10.16036/j.issn.1000-2650.1997.01.028

四川农业大学学报 ›› 1997, Vol. 15 ›› Issue (01): 125-131.doi: 10.16036/j.issn.1000-2650.1997.01.028

有缺失数据单因素随机区组试验资料的最小二乘法

刘永建¹, 明道绪¹, 潘光堂²

1. 四川农业大学职业技术师范学院, 雅安市 625014;
2. 四川农业大学农学院, 雅安市 625014

收稿日期:1996-08-30 出版日期:1997-03-31 发布日期:2017-03-07

LEAST SQUARES METHOD FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN

Liu Yongjian¹, Ming Daoxn¹, Pan Guangtang²

Teachers College of Professional Education, Sichuan Agricultural University/Yaan, Sichuan, China 625014

Received:1996-08-30 Online:1997-03-31 Published:2017-03-07

摘要/Abstract

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

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.

Key words: DATA IN SINGLE FACTOREXPERIMENT WITH RANDOMIZED BLOCK DESIGN, MISSING DATA, LEAST SQUARESMETHOD, COMPUTER

中图分类号:

O212

刘永建, 明道绪, 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(01): 125-131.

Liu Yongjian, Ming Daoxn, Pan Guangtang. LEAST SQUARES METHOD FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN[J]. jsau, 1997, 15(01): 125-131.

有缺失数据单因素随机区组试验资料的最小二乘法

LEAST SQUARES METHOD FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN

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