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半参数
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  semi-parametric
     Considering the Semi-parametric adjustment models L=Bx+S+Δ,where,x∈Rdis a d-vector of unknown parameters,S is an unknown Borel function.
     考虑半参数平差模型L=Bx+S+Δ,xεRd,S为未知回归参数,为未知Borel函数。
短句来源
     The multivariate semi-parametric model E(Y|X)=μ(X~Tβ),where X is a p-dimensional vector,μ and β are unknown is studied.
     研究了半参数多元回归模型E(Y|X)=μ(XTβ),其中X是维数为p的列向量,μ,β是未知参数.
短句来源
     This paper studied the large sample theory of estimator n(u) of the density f(u) of error e 1 for the semi-parametric model Y i=X i′β 0+g 0(T i)+e i, i=1,…,n .
     用分块多项式逼近 g0 ( ·) ,基于M估计 ,研究了半参数回归模型Yi =Xi′β0+ g0 (Ti) +ei,i =1 ,… ,n的误差e的密度f(u)的估计的大样本性质 .
短句来源
     Methods Semi-parametric generalized additive model was used to analyze the relationship between SO2/NO2 concentrations and daily death numbers from January 1, 2001 to December 31, 2004 in the urban area of Shanghai after adjustment for the long-term trend of death, weather conditions, and "days of the week" effect.
     方法采用时间序列的半参数广义相加模型,在控制死亡的长期趋势、气象因素、“星期几效应”等混杂因素的基础上,分析了上海市城区2001年1月1日—2004年12月31日大气SO2和NO2浓度与居民每日死亡数的关系。
短句来源
     In order to avoid the compulsory resampling with Bootstrap method when the parameter estimation is performed with a simple semi-parametric regression model y=xβ+g(t)+ε,a least square random weighting estimation quantity _n concerned with a parameter β was constructed by using random weighting method,and,in an adequate condition,the Edgeworth expansion of _n distribution was obtained with convergence speed of the order of O(n~(-12)).
     指出对简单的半参数回归模型y=xβ+g(t)+ε,在进行参数估计时,为避免利用Bootstrap法需进行重新抽样,应用随机加权法构造了涉及参数β的最小二乘随机加权估计量~λn,并且在适当的条件下获得了~λn分布的Edgeworth展开,其收敛速度可达到O(n-12).
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  semi-parameter
     Semi-Parameter Approach Based on EGARCH-VaR Model and Empirical Research
     基于EGARCH-VaR的半参数法及实证研究
短句来源
     Since the smoothing factor of the semi-parameter model is not easily determined, a new method is presented to resolve it with the help of Genetic Algorithms.
     就半参数模型的平滑因子不好确定的问题,本文提出用遗传算法求半参数模型的平滑因子的方法,并通过算例验证它的可行性和有效性。
短句来源
     Multivariate Curve Drift Models and Semi-parameter Curve Forecast
     多元曲线漂移模型与半参数曲线预测
短句来源
     Statistical Diagnosis of the Smoothing Parameter for Semi - Parameter Model on Constrained Condition
     半参数模型约束条件下估计量的统计诊断
短句来源
     Estimation of Semi-Parameter Regression Model with Censored Data
     半参数回归模型在随机删失下的估计
短句来源
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  semi parametric
     Edgeworth Expansion of L Estimators in Semi parametric Regression Model
     半参数回归模型L-估计的渐近展开
短句来源
     Consider semi parametric regression model Y=x Tβ+g(t)+ε.  The L estimators  n are constructed. Under natural and reasonable conditions, the asymptotic normality and Edgeworth expansion for  n are obtained.
     对半参数回归模型 Y =x Tβ +g( t) +ε,构造了参数向量β的 L -估计量λn,获得了λn的渐近正态性及分布的 Edgeworth展开 ,其速度可达到 O( n- 1 )
短句来源
     MINIMAX LINEAR ESTIMATORS IN A SEMI PARAMETRIC MODEL
     半参数回归模型的极小极大线性估计
短句来源
     This article aims at discussing VaR model,and introduces two new models called semi parametric method and total parametric method to calculate VaR,which is in essence the mixture of historical simulation method and extreme value theory, or the combination of parametric method and extreme value theory.
     本文详细讨论了风险价值模型 ,并提出了两种新的计算方法即完全参数方法和半参数方法 ,它们本质上是历史模拟方法或参数方法和极值理论的结合运用。
短句来源
  “半参数”译为未确定词的双语例句
     We consider the following semiparametric regression model for longitudinal data: yij= x'ijβ+g(tij) +eij.
     本文考虑如下纵向数据半参数回归模型:yij=x'ijβ+g(tij)+eij。
短句来源
     For semiparametric regression model Y_i=Xiβ+g(T_i)+e_i, i=1, 2,. .
     考虑半参数回归模型Y_i=X_iβ+g(T_i)+e_i,i=1,2,…,n,β∈R为未知回归参数,g(·)为[0,1]上的未知Borel函数。
短句来源
     We consider the semiparametric regression model yt=xtβ+g(t)+εt,where β∈R is an unknown parameter to be estimated,t∈[0,1],g(t) is an unknown function defined [0,1],and the error {εt} is a standard Brownian Motion.
     考虑半参数回归模型yt=xtβ+g(t)+εt,其中待估参数β∈R,t∈[0,1]为[0,1]上的未知函数,误差εt为标准Brown运动.
短句来源
     We consider semiparametric regression model under fixed design y_i = x_iβ + g(t_i) + e_i,1 ≤i≤ n.
     考虑固定设计下的半参数回归模型: y_i=x_iβ+g(t_i)+ e _i,i =1, 2,…;
短句来源
     The semiparametric regression model Y i=X′ iβ+g(T i)+e i,i=1,…,n, is considered,where β is a p×1 unknown parametric vector,g(t) is an unknown function on [0,1] and e i is an unobserved random error.
     给定半参数回归模型 Y=X′β+g(T) +e,其中β∈ Rp 是未知参数向量 ,g(t)是定义在 [0 ,1]上的未知函数 ,e是随机误差 .
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  semi-parametric
Asymptotic Properties of a Modified Semi-Parametric MLE in Linear Regression with Right-Censored Data
      
We show that a modified semi-parametric MLE, denoted by is strongly consistent under certain regularity conditions.
      
Development of a semi-parametric stochastic model of asphalt pavement crack initiation
      
The analysis is based on the use of semi-parametric stochastic duration modeling techniques.
      
The problem of selecting between semi-parametric and proportional hazards models is considered.
      
更多          
  semi parametric
Finally, we present a simulation method which we use to try a semi parametric estimation procedure adapted from the non seasonal situation.
      
The mean pseudo steady state value for keoof 0.51 min-1was not different from the mean value of 0.46 min-1from the semi parametric approach when data from a linear portion of the drug concentration vs.
      
We propose a semi parametric model for the data and use a maximum likelihood method to estimate the unknown parameters in this model.
      
Specifically, VaR is calculated for large and small capitalization stocks, based on Dow Jones (DJ) Euro Stoxx indices and is modeled for long and short trading positions by using non parametric, semi parametric and parametric methods.
      
TSSA, on the other hand, is a non parametric method and as such avoids parametric or semi parametric assumptions.
      
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A new semi-rarametric forecasting method for ARM A series is proposed in this paper. Without estimating MA parameters of the model,the method can give the forecast directly just based on AR parameters and autocovariances of the series, so that the forecasting problem is solved much more simply. The method is specially suitable to adaptive forecast and slowly time-varying case,Its application in short-term water load forecasting is also presented in the paper.

在关于ARMA序列新息定理的基础上,本文给出了ARMA序列的一种半参数预报方法,该方法避开对ARMA模型中MA参数作估计这一计算复杂的工作,在只须知道AR参数的情况下直接得到序列的预报值,从而使计算量大为简化同时又保证有一定的精度,本文还介绍了半参数预报方法在城市自来水负荷预报中的成功应用。

In this paper, an asymptotic efficiency function of a kind of semi-parametric estimates in truncated families has been calculated, and its behaviour has been investigated.

本文计算了一般截断族中一类半参数估计的渐近效率,并研究了此效率函数的基本性态。

In this paper we give a strong consistent estimation of parameters on singular point of density function. For example, we estimate a, a, of density function f(x)=0, x≤0; f(x)=a(x)x~a, 0

本文利用核估计及其变型给出某些密度函数的奇异点的参数的强相合估计并指出它们在半参数模型中的应用。

 
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