高斯-双指数混合分布,Gaussian-double exponential distribution英语短句,例句大全

高斯-双指数混合分布,Gaussian-double exponential distribution
1)Gaussian-double exponential distribution高斯-双指数混合分布
1.At the same time, a method to fit the height deviation sample with fixed intervals based on exponential power distribution and Gaussian-double exponential distribution is presented to capture the high-peak and fat-tail characteristic of the height deviation sample, and then the fitting goodness is analyzed accordingly by a likelihood ratio test.针对高度保持偏差样本分布尖峰厚尾的特征,提出了基于指数幂分布和高斯-双指数混合分布拟合区间化的高度保持偏差数据的方法,并利用似然比检验法检验两类分布的拟合优度。
2)mixed two-parameters exponential distribution混合双参数指数分布
3)mixed Gaussian distribution混合高斯分布
1.Then background pixels are determined according to the mixed Gaussian distribution model,and the background of video sequence is extracted.根据灰度-基元共生矩阵建立图像的纹理特征描述并据此初步判断某一区域是否有运动目标,进一步基于混合高斯分布模型进行背景像素判别和背景提取,最后应用多分辨率计算方法提高算法实现效率。
4)Gaussian mixture distribution高斯混合分布
1.To achieve optimal detection result by the stochastic resonance,EM algorithm is proposed to estimate parameters of the Gaussian mixture distribution.采用3-水平量化器随机共振对非高斯水下噪声中的线谱信号进行检测,为使该随机共振类型达到最优的检测效果,利用EM算法进行了高斯混合分布的参数估计。
5)Gaussian mixture distribution(GMD)高斯混合分布(GMD)
6)mixed exponential distribution混合指数分布
1.Estimation of parameters of mixed exponential distribution under dynamic sample proportion;混合指数分布动态样本比例中参数估计
2.The mixed exponential distribution plays an important part in lifetime data analysis but we may suffer from extreme difficulties to get the maximal likelihood estimate due to the complexity of likelihood function,ZHU Liping etc.混合指数分布是寿命数据分析中一个重要分布,其极大似然估计由于似然函数的复杂性而变得很困难。
3.In the paper,a Poisson risk model for claims with mixed exponential distribution is studied,and the exact expressions of bankruptcy probability Ψ(0) as the initial capital is 0 and Ψ(u) as the initial capital is u are given.本文研究了理赔额服从混合指数分布时的泊松风险模型,并给出了初始资本为0时破产概率Ψ(0)的精确表达式以及初始资本为u时破产概率Ψ(u)的精确表达式。

英文短句/例句

1.Cluster Analysis Based on Correlation Matrices and Mixed Exponential Distribution;基于相关矩阵和混合指数分布的聚类分析
2.Poisson Risk Model for Claims with Mixed Exponential Distribution理赔额服从混合指数分布的泊松风险模型
3.A CLASS OF RENEWAL RISK PROCESS IN WHICH THE CLAIM INTERVAL IS UNDER THE MIXED EXPONENTIAL DISTRIBUTION;一类索赔时间间隔服从混合指数分布的更新风险过程
4.The Research of the Exponential Mixture Transition Distribution (EMTD) Model;指数混合转移分布（EMTD）模型的研究
5.Mixed Exponential Dispersion Distributions and Their Applications in Insurance Claims;指数类混合型索赔次数的分布及其应用
6.Analysis of Shanghai-securities Index Volatility Based on Mixed-normal Distribution;基于正态混合分布的上证指数波动性分析
7.Estimation of parameters of mixed Weibull distribution;混合Weibull分布的参数估计
8.Twice Maiximum Likelihood Estimation of Step-Stress Accelerated Life Tests for Exponential Distribution and Hybrid Censoring指数分布下混合截尾步加试验参数二次极大似然估计
9.The Study of the Distributed and Concentrated Composite Structure of Command and Control System;指控系统的分布集中混合式结构研究
10.Estimation of Parameters of Mixed Generalized Pareto Distribution混合双参数广义Pareto分布的参数估计
11.The Stable Distributions of SZSI and SHCI;深圳成分指数与上海综合指数的稳定分布
12.Research on the Stability for a Class of Distributed Parameter Hybrid Systems;一类分布参数混合系统的稳定性研究
13.On Some Maximal Inequalities for the Mixed Fractional Brownian Motion;关于混合分数布朗运动的极大不等式
14.Bayesian Analysis for a Mixture of Parato Distributions with Two Parameters from Censored Data截尾数据下混合双参数Parato分布的Bayes分析
15.Problems of Optimal Equal Interval of Exponential Distribution Based on Grouped Data;分组数据在指数分布场合下的最优等间距问题
16.A Study of the High-frequency-data-based Classified Information Mixture Distribution GARCH Model;基于高频数据的分类信息混合分布GARCH模型研究
17.The paper discuss the upper bound of the distribution of the partial sums of identically distributed mixing random variables.本文讨论了同分布混合序列部分和分布函数的上界及其应用。
18.Exploration of hybrid multi-dimensional histograms for hybrid multi-dimensional data distribution面向多维混合型数据分布的混合多维直方图初探

相关短句/例句

mixed two-parameters exponential distribution混合双参数指数分布
3)mixed Gaussian distribution混合高斯分布
1.Then background pixels are determined according to the mixed Gaussian distribution model,and the background of video sequence is extracted.根据灰度-基元共生矩阵建立图像的纹理特征描述并据此初步判断某一区域是否有运动目标,进一步基于混合高斯分布模型进行背景像素判别和背景提取,最后应用多分辨率计算方法提高算法实现效率。
4)Gaussian mixture distribution高斯混合分布
1.To achieve optimal detection result by the stochastic resonance,EM algorithm is proposed to estimate parameters of the Gaussian mixture distribution.采用3-水平量化器随机共振对非高斯水下噪声中的线谱信号进行检测,为使该随机共振类型达到最优的检测效果,利用EM算法进行了高斯混合分布的参数估计。
5)Gaussian mixture distribution(GMD)高斯混合分布(GMD)
6)mixed exponential distribution混合指数分布
1.Estimation of parameters of mixed exponential distribution under dynamic sample proportion;混合指数分布动态样本比例中参数估计
2.The mixed exponential distribution plays an important part in lifetime data analysis but we may suffer from extreme difficulties to get the maximal likelihood estimate due to the complexity of likelihood function,ZHU Liping etc.混合指数分布是寿命数据分析中一个重要分布,其极大似然估计由于似然函数的复杂性而变得很困难。
3.In the paper,a Poisson risk model for claims with mixed exponential distribution is studied,and the exact expressions of bankruptcy probability Ψ(0) as the initial capital is 0 and Ψ(u) as the initial capital is u are given.本文研究了理赔额服从混合指数分布时的泊松风险模型,并给出了初始资本为0时破产概率Ψ(0)的精确表达式以及初始资本为u时破产概率Ψ(u)的精确表达式。