您要查找的是不是：
- Generalized linear regression model 一般线性回归模型
- The data deletion model and the mean drift model are equivalent in a general linear regression model. This paper uses the theory of least squares to extend the equivalence for the linear model with additional information. 在普通的线性回归模型中;数据删除模型与均值漂移模型是具有等价性的;文章利用线性模型的最小二乘参数估计方法;将此等价性推广至具有附加信息的线性模型中.
- Influence Analysis of Ridge Estimator in the General Linear Regression Model 一般线性回归模型岭估计的影响分析
- Generalized Linear Regression 广义线性回归
- SECRET is a new algorithm for scalable linear regression trees. SECRET是一个关于可伸缩线形回归树的算法。
- Predictive performance of ICW volume based on Pierson formula, multiple linear regression (MLR) and generalized additive model (GAIVI) were evaluated. 我们同时评估皮尔森公式、复迴归线性模型与广义累进模型预测全身细胞内水量之效能。
- Influence Analysis on Best Linear Unbiased Estimate in the General Linear Regression Model 一般线性回归模型最佳线性无偏估计的影响分析
- For more information, see Microsoft Linear Regression Algorithm. 有关详细信息,请参阅Microsoft线性回归算法。
- Examples of neural coding. Simple linear regression. 神经编码的例子与简单的线性回归。
- Linear Regression with Transformations of the dependent variable. 线性回归与变革的因变量。
- Investigation of Relative fMRI Signal Intensity and Its Spatial Distribution with Combination of Multiple Linear Regression and General Linear Test 利用多重线性回归结合一般线性检验研究fMRI的相对强度及其空间分布
- The apparent reaction rate constant can be obtained by linear regression. 线性回归得出化学反应速率常数表观值。
- Methods Linear regression coupled with RSR is applied in this paper. 方法应用线性回归和秩和比法。
- general linear regression model 一般线性回归模型
- In the second chapter a kind of generalized linear biased estimator (k) and a kind of nonlinear biased estimator (k1,k2) were brought forward based on the smallest MSE. 本文第二章以使均方误差达到最小为出发点，提出了一类广义的线性有偏估计(k)和一类非线性有偏估计(k_1,k_2)。
- From the generalized linear quantum transformation theory,we obtain the normal product form of evolution operator and the wave function for a time-dependent oscillator. 由广义线性量子变换理论，得到了含时谐振子正规乘积形式的演化算符和波函数的严格表达式.
- A novel multiscale model named generalized linear scale autoregressive (GLSA) is proposed, while both approximation and detail information of images are considered. 摘要考虑图像的近似信息和细节信息，提出了推广的线性尺度自回归(GLSA)多尺度模型。
- The Microsoft Linear Regression algorithm provides linear regression support for more business flexibility. Microsoft线性回归算法提供线性回归支持,以获得更好的业务灵活性。
- Methods We applied generalized linear mixed models for the nuclear family data to set up the genetic variance component model and estimated parameters using MCMC. 方法将广义线性混合模型应用于核心家系资料建立遗传方差分量模型，运用MCMC方法进行参数估计。
- Accordingly, the end for multiple regression as against linear regression appeared quite reasonable. 因此,同线性回归相比,这种对多元回归的需要看来是颇有道理的。
