Problem in regression parameter estimation by using cumulative - sum method 累积法进行回归参数估计时正规方程的病态问题研究
Ridge and principal correlation estimation of the regression parameters and its optimality 回归系数的岭型主相关估计及其优良性
The superiority of generalized ridge estimation of regression parameter in growth curve model under pitman closeness criterion 准则下生长曲线模型回归参数阵广义岭估计的优良性
In chapter 2 , first the author adopt pure sequential approach to gain cofidence bounds for linear regression parameters , which could be regarded as the continuations of the work of gle . ser ( 1965 ) 在第2章里,作者首先采用纯序贯抽样,获得线性回归系数的置信域,这可视为gleser ( 1965 )工作的继续。
The purpose of this paper is to compare the relative efficiency of complete case analysis and the regression calibration method in estimating linear regression parameters when covariates are missing 摘要本文主要探讨在一部份的伴随变量有缺失下,使用完整资料分析法与回归校正法估计直线回归斜率参数时,有效性的比较,并提供回归校正法比完整资料分析法有效时,斜率参数应满足的条件。