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- Then stock price plasticity models, including a basic model, a power exponent model and there one step auto regression models, are established by econometrical methods, and examined by twelve sample stocks. 然后使用计量经济学方法建立描述股价波动的塑性模型,包括股价塑性基本模型、基本模型的一阶自回归模型、幂指数模型及幂指数模型的一阶自回归模型,基于12支样本股对这些模型进行参数估计和检验。
- projection pursuit auto regression model 投影寻踪自回归模型
- Keywords sustainable development;water environmental quality;auto regression model;environmental Kuznets curve; 可持续发展;水环境质量;自回归模型;环境库兹涅茨曲线;
- auto regression model 自回归模型
- Vector Auto Regression Model 向量自回归模型
- multidimensional auto regressive models 多维自回归模型
- It seems to vary in different periods and different markets. Secondly, Andersen and his coworker developed FIVAR (fractional integrated vector auto regression) model to forecast exchange volatility. 其次，Andersen等学者的向量分数综合自回归模型都没有考虑市场的杠杆效应或不对称性，应用于汇率市场时应该不会有较大误差，但是，股票市场波动率一般都有明显的不对称性，因此该模型并不适合股票市场波动率。
- vector auto regressive model 向量自回归模型
- threshold auto regressive model 门限自回归模型
- Auto regressive model AR模型
- 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。
- The Microsoft Decision Trees algorithm trains a model by using an Auto Regressive decision tree. Microsoft决策树算法通过使用自动回归决策树来为模型定型。
- A logistic regression model must contain a key column, one or more input columns, and one or more predictable columns. 逻辑回归模型必须包含一个键列、一个或多个输入列以及一个或多个可预测列。
- The limitations of usual linear regression model are gotten over by GM(0,3), which afford theorical basis for detail specification sizes of apparel. GM(0,3)灰色模型克服了常用的线性回归模型的局限性,为服装细部规格尺寸的确定提供了理论依据。
- A regression model of phase space for predicting smoothed value of M(3000) FZ factor is presented in the paper. 本文给出了传播因子M（3000）F2流动均值的新预报方法－相空间回归模型。
- Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes. 本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
- The quantal linear logistic regression model in BMDS Version1.3.1was used to calculate BMD and LBMD of blood Pb. 用BMDSVersion1.;3
- In a multiple regression model, age and systolic blood pressure measured at home were positively correlated with AIx. 将增强指数作为因变量 ,年龄、身高、心率、家访时的收缩压及舒张压作为自变量进行多元回归分析显示 ,受试者年龄及收缩压与增强指数呈显著的正相关。
- The trend part of the data can be fitted with BP back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model. 采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
- These forecast results were compared with those of regression models. 预测结果与自回归模型的预测结果进行了比较。
