unbiasedness

unbiasedness

1. uniformly most powerful unbias(s)ed tests

一致最大功效无偏检定

2. median unbias(s)ed estimator

中位数无偏估计量

3. median unbias(s)edness

中位数无偏性

4. It is a important index of the linear unbiasedness property of parameter to measure a parameter estimation method in multiple linear regression.

多元线性回归分析中，参数无偏性是参数估计方法的一个重要指标。

5. The Unbiasedness for the Robust Estimation of the Location Parameters

定位参数抗差估计的无偏性

6. unbias(s)ed critical region

无偏临界区域

7. unbias estimation

无偏估计

8. unbias(s)ed regression estimator

无偏回归估计量

9. unbias(s)ed mean

无偏平均数

10. unbias(s)ed variance

无偏方差, 均方差

11. unbias(s)ed sample

无偏样本

12. unbias(s)ed test

无偏检验

13. unbias(s)ed ratio estimator

无偏比估计量

14. unbias(s)ed statistics

无偏统计

15. unbias(s)ed confidence interval

无偏置信区间

16. unbias error

无偏误差

17. unbias(s)ed important sampling

无偏重要性抽样

18. optimization unbias estimation

最优无偏估计

19. The result proves that the model proposed has good indicator of differentiation, unbiasedness and reference.

最后的结果证明该指标体系具有较好的区分性、无偏性和可参考性。

20. It was also shown that for REML the sample size like the first data set can satisfy its large sample properties of asymptotical unbiasedness and efficiency.

本研究还表明,对于REML来说,类似数据结构1的样本已能满足其渐近无偏性和有效性的大样本特性。

21. regular unbia(s)sed critical regions

正则无偏临界域

22. asymptotic(al) unbias(s)-ed test

渐近无偏检验

23. 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.

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.

24. This paper discusses the linear unbias estimator(BLUE)and isotonic regression (IRE)o f accelerated life test.The closed form of isotonic regression is given.

讨论了对数正态分布场合下恒定应力加速寿命试验的最优线性无偏估计及保序估计；

25. Unbiasedness and efficiency for estimating variance components and predicting genetic effects are tested by Mone Carlo simulations.

运用蒙特卡罗模拟的方法,验证了遗传模型的稳定性和统计分析方法的无偏性。

26. 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。