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regression function造句

"regression function"是什么意思   

例句与造句

  1. 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
  2. Convergence rate of the estimate of the regression function under martingale difference sequence
    误差为鞅差序列的回归函数估计的收敛速度
  3. Strong consistency for the weighted kernel estimation of a regression function under - mixing error condition
    混合误差下回归函数加权核估计的强相合性
  4. Strong uniform converbence rates of wavelet estimates of regression function under complete and censored data
    完全与删失数据下回归函数小波估计的强一致收敛速度
  5. 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。
  6. It's difficult to find regression function in a sentence. 用regression function造句挺难的
  7. And then ols was applied to construct the regression model between them respectively . as a result , three regression functions could be constructed to establish the indirect relationship between the two spaces
    4 、选取了在卫生与医学研究领域中两个比较典型的实例,运用偏最小二乘回归对它们分别予以分析。
  8. The essence of the above estimating methods is local estimator or local smoothing technique . in general , the non - parametric regression function is . well estimated by the above methods when the covariable x is one dimension
    这些方法本质上讲都是局部估计或局部光滑,当回归变量x为一维变量时,非参数回归函数用这些方法一般都能得到很好的估计。
  9. 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。
  10. Satisfactory results were obtained . by combining the traditional neural network method with the svr theory , this paper also addresses the problem of boundary value problems and replaces the neural network function with svr regression function
    此外,在本课题中,我们把传统的神经网络解边值问题的方法和svr理论相结合,用svr中的回归函数代替神经网络函数,对边值问题的求解进行了研究。
  11. 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。
  12. Through linear regression , experiment data is tidied to linear regression function relation . these relations can be extended to common high space . the result indicates that outlet velocity and outlet diameter have obvious effect on air distribution
    通过线性回归法将实验数据整理成以工作区平均温度为因变量,以各个影响因素为自变量的一元线性回归函数关系式,这些关系式能够推广到一般的高大空间。
  13. 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。
  14. 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 ) 。
  15. On the other hand , they play an important role in the theories of esfimation for regression function . in this paper , we mainly get the large sample properties for partitioning estiona - tion and modified its estimation . for example , we proved their asymptolic normaity under nuture conditions by means of mortingle theory ; we also get their strong consistency for regression function under censored samples ; and finaly we genearzed the result to dependence sample and have strong consistency for the modified partitioning estimation of regression function
    因此本论文研究了回归函数基于分割估计及改良基于分割估计的大样本性质,利用鞅的有关理论,在比较自然的条件下,证明了其渐近正态性;首次构造了截尾样本的回归函数基于分割估计及改良基于分割估计,并证明其强相合性;同时把有关结果推广到相依样本下(如混合) ,获得了改良基于分割估计的强相合性及收敛速度。
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相邻词汇

  1. "regression fallacy"造句
  2. "regression filter"造句
  3. "regression fit"造句
  4. "regression forecasting"造句
  5. "regression formula"造句
  6. "regression hypothesis"造句
  7. "regression line"造句
  8. "regression lines"造句
  9. "regression matrix"造句
  10. "regression method"造句
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