有缺失数据单因素随机区组试验资料分析的最小二乘法与估计缺值法的比较研究

doi:10.16036/j.issn.1000-2650.1999.01.014

四川农业大学学报 ›› 1999, Vol. 17 ›› Issue (01): 65-68.doi: 10.16036/j.issn.1000-2650.1999.01.014

有缺失数据单因素随机区组试验资料分析的最小二乘法与估计缺值法的比较研究

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:1998-12-05 出版日期:1999-03-31 发布日期:2017-04-22

THE STUDY ON COMPARISON BETWEEN THE METHOD OF LEAST SQUARES AND THE METHOD OF ESTIMATING MISSING DATA FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN

Liu Yongjian¹, Ming Daoxu¹, Pan Guangtang²

1. Teachers College of Professional Education, Yaan, Sichuan, China 625014;
2. College of Agriculture, Sichuan Agricultural University, Yaan, Sichuan, China 625014

Received:1998-12-05 Online:1999-03-31 Published:2017-04-22

摘要/Abstract

摘要： 用最小二乘法和估计缺值法对同一有缺失数据的玉米新组合比较试验资料进行分析,对分析结果进行比较研究,结果表明:最小二乘法能估计出组合效应,获得组合的最小二乘均数,精确地进行方差分析和多重比较,与传统的估计缺值法相比,最小二乘法更为简便,分析结果更精确可靠。

关键词: 单因素随机区组试验, 缺失数据, 最小二乘法, 估计缺值法

Abstract: Missing data in an experiment for contrast of maize combinations were analyzed by the method of least squares and the method of estimating missing values, and the results of analysis were compared between the two methods. It showed that the effects of maize combinations could be estimated, the Least squares means could be obtained and the analysis of variance and multiple comparison among the least squares means of maize combinations could be performed precisely by using the method of least squares. Compared with the method of estimating missing values, the method of least squares was simpler and its results of analysis were accurate and reliable.

Key words: SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN, MISSING DATA, THE METHOD OF LEAST SQUARES, THE METHOD OF ESTIMATING MISSING DATA

中图分类号:

O241.2

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分析的最小二乘法与估计缺值法的比较研究[J]. 四川农业大学学报, 1999, 17(01): 65-68.

Liu Yongjian, Ming Daoxu, Pan Guangtang. THE STUDY ON COMPARISON BETWEEN THE METHOD OF LEAST SQUARES AND THE METHOD OF ESTIMATING MISSING DATA FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN[J]. jsau, 1999, 17(01): 65-68.

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[2]	明道绪, 刘永建. 3×2交叉试验结果分析的最小二乘法[J]. 四川农业大学学报, 2002, 20(02): 92-95,99.
[3]	张征锋, 明道绪, 刘永建. 玉米产量性状配合力的最小二乘分析及其与杂种优势的相关性研究[J]. 四川农业大学学报, 2002, 20(02): 88-91.
[4]	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.
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[6]	明道绪, 黄玉碧. 随机区组设计二因素试验结果的二次回归分析法[J]. 四川农业大学学报, 1995, 13(01): 12-17.
[7]	黄玉碧, 明道绪, 荣廷昭, 王超. 利用小区平均数分析不完全双列杂交配合力的最小二乘法[J]. 四川农业大学学报, 1994, 12(02): 177-181.

有缺失数据单因素随机区组试验资料分析的最小二乘法与估计缺值法的比较研究

THE STUDY ON COMPARISON BETWEEN THE METHOD OF LEAST SQUARES AND THE METHOD OF ESTIMATING MISSING DATA FOR ANALYZING MISSING DATA IN SINGLE FACTOR EXPERIMENT WITH RANDOMIZED BLOCK DESIGN

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