regression estimators 中文意思是什麼

regression estimators 解釋
還原估計量
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  1. We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents. considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated. next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet - ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given

    當0時，眾多文獻討論了回歸系數陣的各種估計及lse的有效性，本文考慮了當0的情形，給出了回歸系數陣b及其可估參數函數kbl的在矩陣非負定意義下的最優估計（ blue ） ，研究了它的一個最大概率性質，並且討論了最小二乘估計成為最佳線性無偏估計的充分必要條件，在此基礎上給出了均值矩陣的最小二乘估計與blue的偏差估計，定義了lse相對于blue的一個相對效率，並給出了它的界。
  2. Estimators of penalized least square for parametric regression and vectors and spline function can be got by compiled program

    模擬計算表明，該方法適合於回歸函數模型誤差與測量系統誤差的估計。
  3. On the lil of kernel estimators of regression on the lil of kernel estimators of regression

    隨機刪失情形下回歸函數核估計的重對數律
  4. Strong consistency for estimators of a class semi - parametric reliability regression model

    一類半參數可靠性回歸模型估計的強相合性
  5. All aissible estimators of regression coefficient in a restricted linear model

    約束線性模型中回歸系數的所有可容性許估計
  6. This paper is concerned with parametric component and nonparametric component estimators in a semiparametric regression model. this model is more flexible and explantory than traditional linear or nonparametric model

    本篇論文主要討論關於半參數回歸模型的參數和非參數的估計問題，半參數回歸模型是近十幾年發展起來的一種統計模型。
  7. All kinds of the methods are proposed to estimate the nonparametric regression function, such as the kernel method, the local polynomial estimators, the smoothing spline, the series estimators ( b - spline estimator. fourier series estimator, wavelet series estimator )

    對于非參數回歸人們提出了許多估計方法，如核估計，局部多項式估計，光滑樣條估計，級數估計（傅里葉級數估計，小波級數估計）等。
  8. A general proof of consistency of the ols estimators from the multivariate regression case can be shown through matrix manipulations

    多元回歸中ols估計量的一致性的證明可以通過矩陣運算得到。
  9. The present paper gives some profound results of linear biased estimation of regression coefficients which include linear biased estimation for the minimum mean square error, the necessary and sufficient conditions for the linear biased estimation superior to least square estimation, the necessary and suffic ) ent conditions for the admissibility of linear biased estimation and some linear biased estimators not included in the literatures

    摘要給出回歸系數的最小均方誤差線性有偏估計、線性有偏估計優于最小二乘估計的充要條件及線性有偏估計為可容許估計的充要條件，同時給出文獻中未涉及的一些有偏估計。
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