estimators
- estimators的基本解释
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估价员
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- estimator
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First, this paper gives an introduction of some methods of unequal probability sampling, their estimators and variance estimators, including sampling with pps with replacement, methods of sampling without replacement suggested by Brewer, Durbin, Sampford , Des Raj , Murthy , Rao-Hartley-Cochran. Then, at the basis of Rao and Bayless's study , we consider that population can be splited two random subpopulations, which are respectively drawn from different infinite super-populations, and compare the stabilities of estimators of the methods that given above.
本文首先从理论上介绍了若干种不等概率抽样方法,它们的估计量、估计量的方差及其估计,其中包括有放回PPZ及PPS抽样,不放回不等概率抽样中的Brewer、Durbin、Sampford、Des Raj,Murthy、Rao-Hartley-Cochran等人的方法;其次,在Rao和Bayless两人就样本单元数n=2的情形对上述抽样方法进行比较的基础上,将总体随机地分成两个子总体,视每个子总体取自不同的线性超总体,在文中,我们利用计算机实现随机分组,并通过画图比较各方法估计量的稳定性,结果表明,对变异系数C.V。
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First, this paper gives an introduction of some methods of unequal probability sampling, their estimators and variance estimators, including sampling with pps with replacement, methods of sampling without replacement suggested by Brewer, Durbin, Sampford , Des Raj , Murthy , Rao-Hartley-Cochran.Then, at the basis of Rao and Baylesss study , we consider that population can be splited two random subpopulations, which are respectively drawn from different infinite super-populations, and compare the stabilities of estimators of the methods that given above.
本文首先从理论上介绍了若干种不等概率抽样方法,它们的估计量、估计量的方差及其估计,其中包括有放回PPZ及PPS抽样,不放回不等概率抽样中的Brewer、Durbin、Sampford、Des Raj,Murthy、Rao-Hartley-Cochran等人的方法;其次,在Rao和Bayless两人就样本单元数n=2的情形对上述抽样方法进行比较的基础上,将总体随机地分成两个子总体,视每个子总体取自不同的线性超总体,在文中,我们利用计算机实现随机分组,并通过画图比较各方法估计量的稳定性,结果表明,对变异系数C.V。
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Describes general methods of point and interval parameter estimation and the small and large sample properties of estimators: method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, asymptotic relative efficiency of estimators.
点估计和区间估计的一般方法,估计量的小样本和大样本性质:矩法,极大似然估计,无偏估计,Rao-Blackwell 和 Lehmann-Scheffe 理论,信息不等式,渐进相对有效估计量。
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Estimators:普通最小平方估計值
Ordinary least squares 普通最小平方 | Estimators 普通最小平方估計值 | Variances and standard errors of 變量和標準差
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Estimators:估計式
Estimation of parameters 參數估計 | Estimators 估計式 | Events 事件
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Redescending estimators:回降估计量
Recording,记录 | Redescending estimators,回降估计量 | Reducing dimensions,降维
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Unbiased estimators:不偏估計式
Unbiased estimate 不偏估計量 | Unbiased estimators 不偏估計式 | Unbiasedness 不偏性
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Shrinkage estimators:縮小估計式
Shrink 收縮 | Shrinkage estimators 縮小估計式 | Shutdown 關廠
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