广义最小二乘法 meaning in English
generalized least square method
Examples
- The estimators problem of parameters and functions in semi - linear model were studied by generalized least square method . the agreement between parameters and functional estimators was then presented
运用广义最小二乘法研究了一类半线性模型中的参数、函数的估计量问题，并证得估计量的一致性结果 - In second chapter , we obtain the second stage estimators for 0 and g with the first stage estimators by using generated least square th at is used in ev model . the second stage estimators are better than the first stage ones concerning variance , and meantime the paper proves that is the consistencey and the approximate normal distribution and gn is the consistency and the uniform consistency
第二章首先在第一阶段估计的基础上，针对ev模型利用广义最小二乘法求出， g的第二阶段估计，这样从误差方差的角度来考虑，第二阶段估计结果比第一阶段估计结果改进了一步。 - Monte carlo simulations were conducted to study the new approaches of qtl mapping , the results indicated that general least squares ( gls ) method , which was widely applied in mixed linear model , could unbiasedly estimate all genetic main effects , including additive effects , dominance effects and epistatic effects of additive by additive , additive by dominance , dominance by additive , dominance by dominance . the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ) . the heterosis prediction based on qtl effects was also unbiased
对新提出的qtl分析方法进行了montecarlo模拟研究，结果表明，广泛应用于混合线性模型的广义最小二乘法( gls )能够无偏估计加性效应，显性效应以及加加、加显、显加、显显上位性效应等各项遗传主效应；运用线性无偏预测法( lup )能够无偏预测上述各项遗传主效应与环境的互作效应；基于qtl效应的杂种优势预测也是无偏的。