查询词典 regression hyperplane

Methods 134 patients with type 2 diabetes were determined by pure tone audiometry, auditory brainstem responseand distortion product otoacoustic emissions. The risk factors of hearing loss were analyzed by logistic regression analysis. Results 41.8% patients had hearing loss.

测定134例2型糖尿病患者的纯音测听、脑干听觉诱发电位和畸变产物诱发电位结果，回顾性分析听力正常组和异常组的临床资料，并应用多因素logistic回归分析探讨影响听力的危险因素。

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

However, the development of the idea of role of law in some extent prevented the regression from " organic state" to autarchy.

不过，"法治国家"思想的发展在某种程度上防止了"有机国家"向绝对主义国家的回归。

Fama and French (2002) show that the true standard error is the time-series standard error multiplied by√, where ρ is the autocorrelation of the given regression coefficient.

Fama和French（2002）表明，真正的标准是错误的时间错误的√系列标准，其中ρ是自相关系数相乘的回归。

We studied China and fluctuation in business cycle with statistical methods for the first time roundly and systematically, including coefficient correlation, linear regression, turning point coefficient, autocorrelation coefficient, grey system theory, VAR and time series analysis.

第一次全面系统运用统计学方法研究我国经济周期波动，包括相关系数法、一元和多元回归、转折点系数检验、自相关系数检验、灰色关联度、VAR向量自回归和确定性时间序列等方法，第一次把灰色关联分析方法应用于经济周期波动研究。

The spatial autocorrelation coefficient and spatial regression model are widely applied spatial statistic techniques to explain the effects and distributions of spatial factors. This study identifies the major driving forces of the spatial neighborhood effect on land-use/land-cover change in Metropolitan Taipei.

空间自相关系数(spatial autocorrelation coefficient， SAC)或空间回归模型(spatial regression model， SRM)为探讨空间关系常用的工具，其中空间自相关系数以相关系数之观念，藉以探讨空间聚集的型态；空间回归模型则以线性回归模式为基础，探讨自变数以及依变数项的空间差异，对空间近邻效果提供有效的解释方式。

Because of the spatial autocorrelation in the distributions of CHL-a, the ordinary linear regression model is invalid.

由于CHL—a分布的空间自相关性的存在，使得普通线性回归模型不再有效。

Stationary and nonstationary processes, including ARIMA processes. Estimation of process mean and autocovariance function. Fitting ARIMA models to data. Statistical tests for white noise. Forecasting. State space models and the Kalman filter. Robust time series analysis. Regression analysis with correlated errors. Statistical properties of long memory processes.

静态和非静态过程(包括 ARIMA 过程)，均值和时间序列分析：自协方差估计，用 ARIMA 模型拟和数据，白噪声序列的统计检验，预报，状态空间模型和 Kalman 过滤，时间序列分析的稳健性，残差具有相关性的回归分析。

First we use stepwise regression and stepwise autoregression to establish polynomial trend-autoregression error model.

首先通过逐步回归与逐步自回归，建立太阳黑子数的多项式趋势-自回归校正模型。

In this paper, the regression estimation for multivariate simple random sampling and stratified sampling is discussed, it is proved that this method is more available than the estimation without auxiliary variable, and some statistical inferences of population mean are given.

文章系统地讨论了多元简单随机抽样及分层抽样的回归估计法，说明与无辅助信息抽样相比，回归估计法是一种更有效的方法，并得出了总体均值的一些统计推断。

The teacher likes the honeymouthed little girl very much.

老师很喜欢这个嘴甜的小姑娘。

Mr. Notker Bien's interests are traveling, spending quality time with the family and long-distance-running.

诺特卡·柏恩先生热爱旅游，长跑，以及和家人一起共度美好时光。