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减弱真实大观测值影响的总体均值估计量
An estimator, , of μ is investigated. This estimator is formed by replacing all sample values larger than a predetermined cutoff point t by the value of t itself. A proof is given that a region for t exists for certain common distributions such that MSE is smaller than An example is presented which demonstrates the wide range of cutoff points that can be chosen which still result in a gain.
减弱较大真实观测值影响的总体均值估计量
An estimator, , of μ is investigated. This estimator is formed by replacing all sample values larger than a predetermined cutoff point t by the value of t itself. A proof is given that a region for t exists for certain common distributions such that MSE is smaller than An example is presented which demonstrates the wide range of cutoff points that can be chosen which still result in a gain.
在估计中利用已知变异系数
An estimator, γ, of μ is developed which utilizes a priori information concerning the value of the population coefficient of variation. γ′ is shown to have a smaller mean squared error than the sample mean, γ. A table of relative efficiencies for various coefficients of variation and sample sizes is presented.