parametric estimate 中文意思是什麼

parametric estimate 解釋
參數估計
  • parametric : adj. 參（變）數的；參量的。
  • estimate : vt 1 估計，估算；估價；估量。2 評價，評斷。3 〈古語〉尊重。vi 估計，估價。n 1 估計;預測；〈英國〉...
  1. After particularly expatiating upon parametric cost estimating methodology, it elaborately discusses a series of problems that are in relation to parametric cost estimating methodology, and provides corresponding solutions to those problems with giving some applied instances, and then i makes some improvements for those methods. furthermore, this paper brings forward some advices for cost estimate at present situation

    在詳細闡述了參數費用估算方法的基礎上，翔實討論了其中的幾個問題，結合應用實例給出了這些問題的解決辦法，並對傳統方法進行了改進；針對我國炮兵武器裝備費用估算的現狀提出了幾點建議。
  2. This paper consists of two parts : in the first part, we will discuss the prob - lem of the pth - mean, complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part, we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency. to the nonparametric model y _ ni = g ( x _ ni ) + _ ni, 1 i n, let g _ n ( x ) = w _ ni ( x, w _ n1, … ? xnn ) y _ ni estimate the unknown function g ( x ). to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q, we use lse _ nj to estimate the unknown parametric _ j

    本篇論文主要是由兩大部分內容構成：一是關于誤差是l ~ p ?混合序列的線性回歸模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的p ~ -階平均相合性和完全收斂性問題；另一部分是關于誤差是弱平穩線性過程的線性模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的r ?階平均相合性和完全收斂性以及權函數估計的一致平均相合性問題。
  3. Using local base surface parameterization, a parametric quadric surface approximation method is used to estimate the local surface curvature properties of scattered points based on propagating normal vector direction

    首先，計算各點的鄰近點集，選取合適的局部基礎曲面，把鄰近點集投影到相應的局部基礎曲面。
  4. The basic idea of the estimate method is, firstly, based on the linear model yi = x ' i + ei, defining the least square estimator n of the linear model for the unkown parametric ; secondly, using the estimator n we " ve got to substitute for in the original semiparametric regression model yi = x ' i + g ( xi ) + ei and using the usual nonparametric weighted function method to define the estimator gn ( - ) for the unknown function g ( ) ; finally, defining the estimator 2 for the unknown variance of errors 2

    其估計方法的基本思路是先基於線性模型y _ i = x _ i + e _ i ，定義未知待估參數的估計即此線性模型的最小二乘估計（ ? ） _ n ；然後將所得估計（ ? ） _ n代入原半參數回歸模型中，用一般的非參數權函數方法定義未知函數g （ ? ）的估計（
  5. In the term of extreme value theory, especially, extreme distribution - ii, the 4th chapter amends power law regulation, which makes up parametric estimating problem of extreme value method. as these results, a new method to estimate var, based on laplace & extreme value - ii distribution is put forward

    論文第四章，通過研究極值ii型分佈，從順序統計量的角度出發，研究極值分佈的尾部展開的一些性質，提出了一種估計極值分佈參數的方法，完善了極值理論的參數估計問題，結合實際應用提出了laplace極值混合分佈和一種估計var的新方法。
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