nonparametric regression造句
例句与造句
- kernel estimation with variable bandwidth for nonparametric regression econometric models
非参数计量经济模型的变窗宽核估计 - weighted kernel estimator of nonparametric regression functions with censored data of sequences
相依截尾数据非参数回归函数加权核估计 - in this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference
摘要本文研究了误差项是鞅差序列，且满足某种指数矩条件的非参数回归函数的估计。 - in the nonparametric regression the regression function is supposed to be from some function family, such as the smoothing functions . so the nonparametric regression needs few hypotheses and is very robust
非参数回归一般假定回归函数属于某一个函数类，如常常假定回归函数是一个光滑的函数，因此非参数回归对模型的假设很少，最主要的优点就是模型具有稳健性。 - in the nonparametric regression the regression function is supposed to be from some function family, such as the smoothing functions . so the nonparametric regression needs few hypotheses and is very robust
非参数回归一般假定回归函数属于某一个函数类，如常常假定回归函数是一个光滑的函数，因此非参数回归对模型的假设很少，最主要的优点就是模型具有稳健性。 - It's difficult to find nonparametric regression in a sentence. 用nonparametric regression造句挺难的
- this paper studies the nonparametric estimates of general weight function of the nonparametric regression function with fixed design points, when the model error is martingale sequence, and we give the optimal convergence rate under some conditions
摘要当误差为鞅差序列时，研究固定设计点列情形下非参数回归函数一般权函数的非参数估计，并在一些基本条件下给出了估计的一致最优强收敛速度。 - 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 )
对于非参数回归人们提出了许多估计方法，如核估计，局部多项式估计，光滑样条估计，级数估计(傅里叶级数估计，小波级数估计)等。 - but the multivariable nonparametric regression function could not be well estimated by the local estimator because there is o nly a little data in the local fields of the high dimension regression variable x . this phenomenon is said to be " the curse of dimension "
但当回归变量是多维向量时，由于x的局部邻域包含很少的数据，用这些估计方法，很难估计出一般的多元非参数回归函数，人们把这种现象称为‘维数祸根’(thecurseofdimension)。 - in chapter four, we investigate the complete convergence for weighted sums of-mixing sequences . we apply results to the least square estimations in linear regression models and weighted function estimates g in nonparametric regression . the results improve the results appeared in literature
第四章，讨论了-混合序列加权和的完全收敛性，并将此结果应用于线性回归模型参数的最小二乘估计及非参数回归模型g的权函数估计中，所得的结果改进了已有的相应的结果。 - in this paper, we use nonparametric regression method in chinese financial time series, we also use both kernel regression after improving cross-validation function and local polynomial estimation of regression under mixing condition to study and analyze the volatility in chinese stock market
在本文中，我们把非参数回归的方法运用到我国实际的金融时间序列数据之中，讨论了我国股价指数收益率序列的易变性。而在用非参数回归进行估计时，选择合适的窗宽有着重要的意义。 - so many statistics scholars have studied it extensively and obtained many ideal results . semiparametric regression model yi ~ ( n ) = xi ~ ( n ) + g ( t ~ n _ i ) + _ i ~ ( n ), 1 i n, where g is an unknown function on a compact set a in r ~ p and is an unknown parameter, ( x _ 1 ~ ( n ), x _ 1 ~ ( n ) ) ~ t, ? ? x _ n ~ ( n ), t _ n ~ ( n ) ) ~ t are fixed design vectors and the radom er-rors _ i ~ ( n ) are assumed to be an l ~ q-mixingale sequences . fan [ 1 ] investigated nonparametric regression model
由于半参数回归模型的优点是集中了主要部分(即参数分量部分)的信息，因而它比传统的线性模型或非参数回归模型有更强的解释能力，不少统计学者对其进行了深入的研究，同其它回归模型一样，它的大样本性质始终是人们关注的热点。 - this kind of model includes not only a parametric component but also a nonparametric component . so it has the advantages of the parametric regression model and the nonparametric regression model . it has the more implements and stronger explanations than the pure parametric or nonparametric regression model
这种模型既有参数分量，又含有非参数分量，兼顾了参数回归模型和非参数回归模型的优点，较单纯的参数回归模型或非参数回归模型有更大的适应性，并具有更强的解释能力。 - this kind of model includes not only a parametric component but also a nonparametric component . so it has the advantages of the parametric regression model and the nonparametric regression model . it has the more implements and stronger explanations than the pure parametric or nonparametric regression model
这种模型既有参数分量，又含有非参数分量，兼顾了参数回归模型和非参数回归模型的优点，较单纯的参数回归模型或非参数回归模型有更大的适应性，并具有更强的解释能力。