本文采用自回归模型得到肝脏组织不同区域的超声结构散射频谱，并对其频谱特征进行了统计分析。
In this paper, the ultrasonic spectra of liver's structural scattering were obtained by using autoregressive model, and the spectral characteristics were analyzed statistically.
退变性脊椎前移患病率的相关基线特征采用年龄调整患病率和95%可信区间的日志二项式回归模型进行评估。
Associations of spondylolisthesis prevalence with baseline characteristics were estimated with age-adjusted prevalence ratios and 95% confidence intervals from log binomial regression models.
股票价格的频繁波动是股票市场最明显的特征之一，自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
结果表明，所提出的的截面弯矩-曲率关系三折线模型中，各无量纲特征参数的统计回归公式具有较好的精度。
The results show that the regression formulas for the characteristic parameters in the proposed trilinear model are of excellent precision.
回到欺诈检测问题，设想一个具有交易金额特征的线性回归模型。
Returning to fraud detection, imagine a linear regression model with a transaction amount feature.
为了探索这种活动机制，本文用基于非线性自激振动的指数自回归模型来研究这些特征。
To study this mechanism, we used the exponential autoregression model which is originated from non-linear auto-vibration.
然后，利用自回归条件异方差模型系统研究了我国封闭式基金市场的价格波动特性，分析了基金市场的风险特征。
Then, it studies the characteristic of price volatility and risk in closed-end securities investment fund market by use of ARCH models.
非参数回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
Nonparametric regressive model has gained much attention recently, primarily due to the fact that they can describe some nonlinear features exhibited by many datas itself in applications.
本文提出了一种新的VMT估算模型，该模型引入指数回归模型，结合采样交通流量和路段特征来估测流量和VMT。
This paper developed an alternative approach that can incorporate both traffic count and link attributes through an exponential regression model in estimating volume and VMT.
非参数自回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
Nonparametric autoregressive model have gained much attention recently, due primarily to the fact that they can describe some nonlinear features exhibited by many data itself in applications.
根据纹理特征的局部马尔可夫性和高斯变量的条件回归之间的关系，将复杂的模型选择转变为较简单的变量选择，应用惩罚正则化技巧同步选择邻域和估计参数。
The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables.
复杂海量数据往往表现为多种结构特征的混合体，回归类混合模型就是对这种混合体的一个描述。
Complex and massive data usually appear as a mixture of multiple classes of structures and mixture model of regression classes is a description of such mixture.
特征价格模型(HPM)以住宅特征与住宅价格之间关系为基础，建立住宅价格的回归模型。
The Hedonic price model (HPM), which is based on the relationship between the housing characters and housing price characters, sets up the regressive model of housing price.
并建立了逐步回归统计模型，通过对比模型的预测特征参数，比较分析了模型间的预测效果。
Then it establishes a stepwise statistical regression model. Finally, the model prediction effect is comparative analysis by comparing the characteristic parameters of the model.
并建立了逐步回归统计模型，通过对比模型的预测特征参数，比较分析了模型间的预测效果。
Then it establishes a stepwise statistical regression model. Finally, the model prediction effect is comparative analysis by comparing the characteristic parameters of the model.
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