This paper studies linear regression models with dependent errors, and we introduce the jackknifed leastsquaresestimator and generalized jackknife leastsquaresestimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
2
To solve the problem, a non-quadratic objective estimator, the weighted least absolute value (WLAV) estimator, and least mean squares (LMS) estimator are proposed.
为解决这一问题，已经提出了加权最小绝对值准则、非二次准则等估计器。
3
Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, leastsquaresestimator, DSPE, DISPARE, etc.