| 1. | Properties of ols : minimize the sum of squared residuals
Ols性质：最小化残差平方和。 |
| 2. | We are discussing whether ols estimator satisfy asymptotic normality
我们讨论是否ols估计量满足渐近正态性。 |
| 3. | The error cannot be observed but can be estimated from ols residuals
不可观测的误差可以通过ols残差进行估计。 |
| 4. | Without this assumption , ols will be biased and inconsistent
如果这个较弱的假定也不成立， ols将是有偏而且不一致的。 |
| 5. | Study of 2 - iodo - 3 - phenylsulfinyl - 2 - propen - 1 - ols by self - chemical ionization mass spectrometry
醇类化合物自身化学电离质谱研究 |
| 6. | We begin by establishing the unbiasedness of ols estimators under a set of assumptions
首先，我们在一些假定下证明ols估计量的无偏性。 |
| 7. | The urbanization model and process in bohai sea surrounding area in the 1990s by using dmsp ols data
环渤海经济圈城市群能级梯度分布结构与区域经济发展战略研究 |
| 8. | We say that ols estimators are asymptotically efficient among a certain class of estimators under the gauss - markov assumptions
我们说在高斯-马尔可夫假定下ols估计量是渐近有效的估计量。 |
| 9. | Exception : if the new regressor is perfectly multicollinear with the original regressors , then ols cannot be implemented
例外：如果这个新解释变量与原有的解释变量完全共线，那么ols不能使用。 |
| 10. | A general proof of consistency of the ols estimators from the multivariate regression case can be shown through matrix manipulations
多元回归中ols估计量的一致性的证明可以通过矩阵运算得到。 |
