指数族

词组短语

exponential family

与指数族相关的网络例句 [注：此内容来源于网络，仅供参考]

In the second we give the necessary and sufficient conditions for strict convexity of power function of exponential family in the discrete case.

在第二个问题中，我们给出了在离散的情形下，指数族势函数严凸的充分必要条件。

We use the Taylor series expansion method to get the second-order approximate expression of the confidence region of the parameters, and then according to the principle of minimizing the volume of the confidence region, this paper carries out experimental design for the regression model, and then fixes the point range in the domain of definition of design variable for the model function so as to select the designing point, which can minimize the volume of the confidence region.

文章首先计算指数族非线性模型的回归参数β在1-α置信水平下的置信域的体积，为了便于计算，需把置信域投影到切空间中去，投影后的置信域是一个椭球体，用Taylor展开方法对此椭球体的体积进行二阶近似，推出原参数置信域的体积的近似表达式，然后对回归模型进行试验设计，根据置信域体积最小准则，在模型函数的设计变量的定义域上确定点列，选取使置信域体积达到最小的设计点。

A number of authors have been concerned about exponential family nonlinear models.

已经有许多作者对指数族非线性模型进行了研究。

The diagnostics and influence analysis are systematically studied for the exponential family nonlinear models with random effect.

系统研究了指数族非线性随机效应模型的统计诊断和影响分析。

Exponential family is the most commonly used family in statistics, which include many families such as normal?Poisson and Gamma family.

指数族是统计学中应用最广泛的分布族，它概括了许多常见的统计分布，特别是正态、二项、Poisson、Gamma等分布。

The objective of this paper is to estimate the parameters of generalized exponential family ARMA models and construct the confidence intervals of the parameters. In this paper we divided the problem into continuous type situation and discrete type situation.

本文针对广义指数族ARMA模型，分为连续型指数族和离散型指数族两种情况讨论模型的参数估计，并运用不同的Bootstrap方法构造参数的置信区间和置信带。

This dissertation is to apply Bayesian and empirical Bayesian theory to investigate the statistical inference of parameters in one-side, two-side truncated family and one-parameter exponential family and some reliability problem.

本文将Bayes、经验Bayes理论应用于单边、双边截断型分布族、单参数指数族参数的统计推断及一类可靠性问题的研究。

In the case of NA samples, the parameter for scale exponential family is discussed using empi- rical Bayes methods. Moreover, we investigate the statistical analysis of life data in reliability tests. Firstly, based on the LINEX loss function, we obtain the empirical Bayesian estimator for parameter of the one-side truncated-type distribution families and the scale exponential family under NA samples, also discuss the estimators?

在非对称的LINEX损失函数下，我们首先给出了一类单边截断型分布族、刻度指数族参数的经验Bayes估计NA样本情形），并讨论了该估计的收敛性质，在某些条件下，证明了本文给出的经验Bayes估计是渐近最优的，且给出了收敛速度。

Combining NA samples the EB estimation with convergence rates is also obtained; Thirdly, for one-parameter exponential distribution family, we give the parameters' EB estimator that is admissible and asymptotically optimal with convergence rates. Finally, Bayesian and hierarchical Bayesian approaches are applied to analyze the reliability performances for series system with cold standby units and the numerical simulation results show that multiple Bayes estimator is superior to Bayes estimator.

其次，针对一类双边截断分布族，在非对称linex损失下构造了经验Bayes决策函数，建立了它的收敛速度，给出了渐近最优的证明；并结合NA样本研究了参数的经验Bayes估计及其收敛速度；接着给出了指数族参数的经验Bayes估计，证明了它是渐近最优的，也是可容许的，同时也获得了该EB估计的收敛速度；最后，运用Bayes与多层Bayes方法研究了具有冷贮备部件串联系统的可靠性指标的估计，并给出了数值模拟结果，结果表明多层Bayes估计优于Bayes估计。

In this paper, we introduce the estimation and algorithm o f p arameter and some diagnostic statistics. We deduce the computation formula of curvature and conformal normal curvature for four perturbations of models.

本文主要介绍了指数族非线性模型的参数估计及其算法，若干诊断统计量，并将保形法曲率应用到指数族非线性模型中，推导了模型四种扰动方式的曲率和保形法曲率计算公式。

与指数族相关的网络解释 [注：此内容来源于网络，仅供参考]

exponential family：指数族

exponential equation 指数方程 | exponential family 指数族 | exponential form of complex number 复数的指数形式

curved exponential family：曲指数族

曲线坐标|curvilinear coordinates | 曲指数族|curved exponential family | 屈内特公式|Kunneth formula

curved exponential family：曲线指数族

弹性曲线 curve of flexibility | 曲线指数族 curved exponential family | 曲线相关 curvilinear correlation

discrete exponential family：离散指数族

离散分布;离散分配 discrete distribution | 离散指数族 discrete exponential family | 离散次数函数 discrete frequency function

exponential family of distributions：指数型分布族

指数稳定[的]|exponentially stable | 指数型分布族|exponential family of distributions | 指数映射|exponential mapping

exponential family of distributions：指数分布族

exponential failure law 指数故障率 | exponential family of distributions 指数分布族 | exponential filter 指数滤波器

completeness of exponential family：指数族的完备性

完全性;完备性 completeness | 指数族的完备性 completeness of exponential family | 顺序统计量的完备性 completeness of order statistics

nonlinear exponential family regression models：指数族非线性回归模型

非线性回归:Nonlinear Regression Models | 指数族非线性回归模型:nonlinear exponential family regression models | 多因素非线性回归:nonlinear regression with multi-factors

exponential form of complex number：复数的指数形式

exponential family 指数族 | exponential form of complex number 复数的指数形式 | exponential fourier transformation 指数型傅里叶变换

exponentially stable：指数稳定[的]

指数时间算法|exponential-time algorithm | 指数稳定[的]|exponentially stable | 指数型分布族|exponential family of distributions