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- OLS估计量OLS estimate
- 我们讨论是否OLS估计量满足渐近正态性。We are discussing whether OLS estimator satisfy asymptotic normality.
- 为了证明OLS估计量是渐近有效的，我们需要(1)给出一致的估计量但证明它有更大的方差。To prove that OLS estimators are asymptotically efficient, one needs to (1) present an estimator that is consistent but its variance is larger.
- OLS估计OLS estimator
- 广义搜索比率估计量generalized raking ratio estimators
- 给出了平衡LS估计为无偏估计的充分必要条件,对于给定的L,适当地选择参数t可使平衡LS估计的均方误差矩阵小于OLS估计的均方误差矩阵.A necessary and sufficient condition for the unbiasedness of Balanced LS Estimation is gained, and for the given L, t can be chosen to make the MSEM of the Balanced LS Estimation less than that of OLS Estimation.
- 推广的Pickands型估计量Extended Pickands-type estimator
- 排量delivery capacity
- 量产volume production
- 词汇量word-base
- OLSOLS (ordinary least squares analysis)
- 称量metage
- OLS回归OLS regression
- 正态总体方差几类估计量的比较Comparision the Some Estimators of the Normal Population Variance
- DMSP/OLSDMSP/OLS
- DMSP／OLSDMSP/OLS
- 弹性模量elasticity modulus
- OLS回归斜率the slope of OLS
- 偏移量offset
- 完全修正的OLSFMOLS
