说明:双击或选中下面任意单词,将显示该词的音标、读音、翻译等;选中中文或多个词,将显示翻译。
您的位置:首页 -> 词典 -> 最近邻估计
1)  nearest neighbor estimation
最近邻估计
1.
In this paper, we study the consistency and convergence rate of the nearest neighbor estimation of f(x) based on the residuals.
本文首先讨论了基于残差的f(x)的最近邻估计的相合性及收敛速度,然后把结论推广到污染线性模型,讨论了污染系数ε,误差的主体分布及回归系数β的估计的相合性,收敛速度以及(β|^)的渐近正态性。
2.
In this paper, the strong consistency of nearest neighbor estimation m_n(x)) of regression function m(x) with stationary and Φ-mixed sample sequence {(x_n,y_n),n≥1} is studied and applied it in nonparametric test.
在样本序列{(xn,yn),n≥1}为平稳Φ-混合的情况下,研究了回归函数m(x)的最近邻估计mn(x)的强相合性问题,并给出了它在非参数判别中的一个应用。
3.
This paper is mainly concerned with the density function estimation problems under pairwises NQD samples, based on which we got the consistency, asymptotic property as well as the consistency rates and other large sample properties of the nearest neighbor estimation and kernel estimation.
本文主要研究了基于两两NQD样本的密度函数估计问题,得到了两两NQD样本下最近邻估计和核估计的大样本性质,如相合性、渐近正态性及收敛速度等。
2)  nearest neighbor estimator
最近邻估计
1.
he asymptotic property of nearest neighbor estimator for the regression function is considered.
讨论了回归函数的最近邻估计的渐适性质。
3)  Nearest neighbors estimate
最近邻估计
1.
Simulation study on consistency of Rosenblatt and Nearest neighbors estimate;
Rosenblatt估计与最近邻估计的模拟比较
4)  nearest neighbor estimates
最近邻估计
1.
Considering the nonparametric regression model y_i=g(x_i)+e_i,i≥1,where g(x) is an unknown continuous function to be estimated,x_i s are nonrandom, e_i s are iid errors, we deal with the asymptotic behavior of the nearest neighbor estimates where h~* is chosen by the method of L_1-cross-validation.
在本文中,我们讨论最近邻估计g_(n,h)(x)=1/h∑Y_(R_(i,x)~(n)),其中h利用L_1-cross-validation方法选择,在一定条件下,证明了L_1-cross-validation最近邻估计的强相合性。
5)  L_1-norm n n estimator
L_1模最近邻估计
6)  nearest neighbor density estimator
最近邻密度估计
1.
This paper disscuses the consistency of nearest neighbor density estimator for negative associated samples.
在NA样本下研究最近邻密度估计的相合性,给出弱相合性、强相合性、一致强相合性以及它们的收敛速度的充分条件,同时研究了失效率函数估计的一致强相合性。
补充资料:Nearestneighbor(近邻取样)

nearest neighbor (近邻取样)

又被称为point sampling(点取样),是一种较简单材质影像插补的处理方式。会使用包含像素最多部分的图素来贴图。换句话说就是哪一个图素占到最多的像素,就用那个图素来贴图。这种处理方式因为速度比较快,常被用于早期3d游戏开发,不过材质的品质较差。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条