The estimator is simple in construction and the error of stator resistance is small.

This kernel estimator has the advantages of both the local model and the global model.

这种核估计方法可以结合局域法与全局法的优点,使得预测的精度更高.

Explain non-standard system to Estimator if necessary.

如有必要,向报价人员解释 非 标系统.

The estimator can take various specific forms.

这种估计式可采用不同的具体形式.

M estimator is the abbreviation for the maximum likelihood estimator.

估计是极大似然估计的一种简称.

Objective The collinearity in data can produce inaccurate estimator and test.

目的共线关系可产生不准确的估计及检验.

The sufficient condition of the existence of the parameter estimator was given.

给出了参数估计器存在的充分条件.

Numerical examples are presented to show the effectiveness of the estimator.

数值例子表明了估计器的有效性.

To construct confidence interval, the limiting distribution of change-point estimator is obtained.

为构造变点的置信区间给出了变点的极限分布.

Small sample properties are derived for the estimator from simple random samples.

我们推导简单随机抽样下该估计值的小样本性质.

The performance of DOA estimator is studied via Monte Carlo simulations.

仿真结果验证了该方法的有效性.

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 estimator is unbiased, the numerical estimate is frequently also called unbiased.

当估计量无偏时, 数字估计值也常叫做无偏的.

Estimators put the number of participants in more than 89 hundred well off the record if authenticated.

评估员估计参加者超过了八千九百人,若被验证的话,这一数字完全超出了最高记录.

Two kinds of estimators were compared under PPS sampling and simple random sampling with replacement.

本文在PPS抽样方案和有效回简单随机抽样方案的情形下构造了这两种估计并精确比较了它们的优劣.

Estimators put the number of participant in more than 8900 well off the record if authenticated.

北达科他州打算在星期六让人们回忆起雪天使记录.

This paper is concerned with the two kernal estimators of regression function censored date.

针对二种回归函数核估计,本文研究了其收敛速度.

These estimators include the signal subspace methods, ESPRIT and WSF. They possess good statistical performance.

子空间类方法 、 esprit和WSF是 几种典型的高分辨方位估计方法, 它们具有良好的统计性能.

Sequential Adjustment Estimators is a new method the author puts forward to solve this problem.

序贯调整估计量是本论文提出的解决这一问题的新方法.

When Gauss-Markov assumptions hold, we need not look for alternative unbiased estimators.

当高斯 - 马尔科夫假定成立时, 我们不需要再去找其它无偏估计量了.

The approach yields more precise estimators and more powerful tests.

这种方法产生更严谨的估算人和更强有力的试验.