摘要
本文通过最小二乘法用黄牛的体长、胸围两项体尺估测黄牛的体重。不同的估测方法估测的精度不同，采用体长和胸围两项体尺建立的二元二次回归方程估测的体重Ｙ１与实测的体重Ｙ０的相关系数最高（ｒ０１为０．６７０５）；用体长Ｘ１的单项体尺估测的体重Ｙ２与实际体重Ｙ０相关系数（ｒ０２）为０．６１４；用胸围Ｘ２的单项体尺估测的体重Ｙ３与实测体重Ｙ０的相关系数（ｒ０３）为 ０．６２６；用体长 Ｘ１和胸Ｍ２建立二元一次回归方程估测的体重Ｙ４与实测的体重Ｙ０的相关系数（ｒ０４）为０．６３６２；ｒ０１、ｒ０２、ｒ０３、ｒ０４均达到极显著（Ｐ＜０．０１）。体长和胸围这两项单项体尺对估测体重的重要性不同，胸围对体重的贡献率较体长大。
The Least Square Method is introduced in this essay to estimate cattle body wight according to its body length and chest girth. Different accuracy occurs between two methods. The correlation coefficient of real weight Y0 and estimated weight Y1 based on regression equation established on body length and square of chest girth is r01 = 0. 6705. That of Y0 and estimated weight Y2 by regression equation established on body length X1 is r02 = 0. 614, that of Y0 and estimated weight Y3 by regression equation established on chest girth X2 is r03 = 0.626. That of Y0 and estimated weight Y4 by regression equation established on body length X1 and chest girth X2 is r04 = 0. 6362. All of r01, r02, r03, r04 shows the extremely significant difference. The importance is different between estimating weight by body length and by chest girth. The influence of body length is greater than that of chest girth on the accuracy of estimating weight.
出处
《黄牛杂志》
2000年第5期1-4,共4页
Journal of Yellow Cattle Science
关键词
最小二乘法
体重
黄牛
估测方法
The Least square method
Estimating weight
Yellow cattle
