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。

When the telephone rings, some new OLs or OGs ( Office Ladies or gentlemen) will get upset.

当电话铃响时，一些办公室白领们往往会很窘迫。

Based on the characteristic of each technology, we can combine the OBS and OLS to form the LOBS.

鉴于OBS与OLS各自的特点，两者可以结合起来形成光标签突发包交换（LOBS）技术。

The potential applications of OLS are the areas of machine learning, knowledge acquisition, specification deve…

OLS在机器学习、知识获取、软件开发、故障诊断及知识库维修方面有着广泛的应用前景。

To compare PLS with principal component regression (PCR) and ordinal least square regression (OLS) by a medical case.

应用医学实例计算，对偏最小二乘回归与主成分回归及一般最小二乘回归进行比较。

This is quite large, and is far from the zero residual autocorrelation that an OLS analysis of these data would require.

这是相当大的，远从零剩余自相关，分析这些罕见数据将要求。

The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.

模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。

In this paper, the effects of OLS method and WLS method in analysis of one-way nested design with unequal subclass numbers are examined.

对 普通最小二乘法和加权最小二乘法在不等重复单因素系统分组试验中的分析效果进行了比较研究。

And then, it formulates an OLS model to further analyze and testify the relationship between banking sector structure and credit rationing.

然后建立一个简单的OLS回归模型来进一步分析和验证我国银行业结构对信贷配给的影响。

To prove that OLS estimators are asymptotically efficient, one needs to (1) present an estimator that is consistent but its variance is larger.

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。

For Him: Examining men's fashion from a women's perspective; introducing fashionable trends and items, helping OLs to beautify their significant other.

男人装：从女人的视角看男人的着装，介绍新鲜的潮流、单品，帮助她们包装自己的另一半。

Using household's vulnerability and its five decompositions to regress a set of household's variables by OLS method, this paper gets two important results.

家庭脆弱性及五个分解部分对家庭特征集合变量的OLS回归结果的重要发现是：一个农村家庭规模越大，则其遭受脆弱性的可能性越小；

OLS is a research project that is focused on building "social software" that enables informal learning communities to form around existing open educational content.

OLS是一个着眼于建立“社群软件”的研究计划，让非正规学习社群利用现存公开的教材而组织起来。

But many economists use static OLS regression method to test Precautionary savings and Liquidity constraints hypo these and some of them mixed long-run and short-run.

乘法回归来检验流动性约束和预防性储蓄假说，并且没有区分长期消费与短期消费之间的关系。

T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.

对非线性系统建立T-S模糊模型，并用正交最小二乘法（ OLS）对模糊规则的后件参数进行辨识。

The fundamental premise of OLS is that full educational opportunity requires a user to have the social access to other people who can answer questions and provide support.

OLS基本前提是完整的教育机会，必须让使用者能够与能解答其问题或提供支援的其他人建立起沟通管道。

The study also finds that unobserved effects, sample selection bias and measurement errors play important role on results, and OLS really underestimates yield of schooling.

非观测效应，以及样本选择偏差和测量误差所引发的内生性问题对结果的影响很大，导致普通最小二乘法低估了我国的教育收益率。

International researches mainly include population estimation from the land cover data, DMSP-OLS night light data or spectrum information directly afforded by the Remote Sensing images.

国外研究主要包括从遥感解译信息反演人口数据、从DMSP - OLS夜间灯光数据反演人口数据和从遥感获取的光谱特征直接反演人口数据。

Moreover, this research found that as labor migration of China has significant space conglomeration effect, Spatial Error model is fitter to analysis of this phenomenon than OLS model is.

研究还表明，中国劳动力迁徙具有显著的空间集聚效应，采用空间误差回归模型要明显优于OLS回归模型。

The core technology of OLS is using the optical label to establish the transmission path for the data, so we can avoid the complex route management and improve the data transmission rate.

它的核心思想是使用光标签来建立数据在光网络中的传送路径，免除沿路径复杂的路由处理，从而提高数据交换速率。

RBF neural network method using OLS algorithm for Multi-user Detection in DS-CDMA Systems is pro-posed, and the theoretic basis and simulation analysis capability are given int his paper.

分析了采用正交最小二乘(ols)算法的RBF神经网络应用于DS - CD MA扩频通信的多用户检测的问题，给出了基于RBF网络进行多用户检测的理论依据和仿真分析性能。

After summarizing research actuality of quantile regression inside and outside our country, this article introduces this ideal model and realization method, and compares it with OLS and LAD.

本文在对分位数回归的国内外研究现状进行综述后，介绍了分位数回归的模型和实现方法，并将它与最小平方法、最小一乘法进行了比较。

Combining the new measure with the forward regression orthogonal least square (OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind.

提出一种基于输入集分类函数的新的距离度量方法，它与前传回归的正交最小二乘法相结合，不仅可以学习分类超平面的参数，而且可以选择重要的输入节点。