Gamma分析,gamma analysis
1)gamma analysisGamma分析
2)Gamma-Gamma distributionGamma-Gamma分布
3)Gamma distributionGamma分布
1.In probability and mathematical statistics,Gamma distribution is a very important probability distribution,whose distribution density function has been derived in a few ways.在概率论与数理统计中,Gamma分布是一种很重要的概率分布,其密度函数已有几种推导方法。
2.It is capable of describing the video service in the case of scenery change, and its specific feature of Gamma distribution follows fairly well the bit rate of a VBR video service.该模型较理想地描述了场景切换下的视频业务模型,其Gamma分布特性较好地描述了VBR业务比特流的分布。
3.The main purpose of the thesis is choosing the most superior distribution among Normal distribution, Weibull distribution, Beta distribution and Gamma distribution when they are used for forecasting and fitting Pinus kesiya var.以思茅松天然次生林 3块样地资料为依据 ,对正态分布 ,Weibull分布 ,Beta分布 ,Gamma分布拟合及预测思茅松天然次生林直径分布的适用性进行分析、比较 ,选出最适合于拟合及预测该林分直径结构的分布 ,并用卡方统计量对 4种分布进行检验 ,结果表明 :Weibull分布描述思茅松天然次生林的直径分布效果最
英文短句/例句

1.Approximate of x~2 distribution to Gamma distribution;x~2分布对Gamma分布的近似
2.Parameter Estimation of Gamma Distribution With Ⅱ Interval Censored Data;Ⅱ型区间数据下Gamma分布的参数估计
3.The Computation of VaR Based on the Normal Inverse Gamma Distribution and General Extreme Value Distribution;基于正则逆Gamma分布和广义极值分布的VaR计算
4.The Empirical Bayes Estimation for the Parameter of the Gamma Distribution Families in the Case of NA Samples;NA样本情形下Gamma分布族参数的经验贝叶斯估计
5.COLLECTIVE RISK MODEL BASED ON THE CONTAMINATED GAMMA DISTRIBUTION AND ITS APPLICATION IN RISK CLASSFICATION基于污染Gamma分布的聚合风险模型及其在风险分类中的应用
6.The VaR and CAaR based on Variance Gamma(VG) Distribution基于Variance Gamma(VG)分布下的VaR与CAaR
7.An Algorithm of NMF Based on Gamma Distribution and Its Application in Face Recognition;一种基于gamma分布的NMF算法及其在人脸识别中的应用
8.The Study on Radar Interferometry with GAMMA基于GAMMA的雷达影像干涉测量分析
9.Clone and Sequence Analysis of Fc Receptor Gamma Subunit cDNA from Carp(Cyprinus carpio L.)鲤鱼Fc受体gamma亚基克隆及序列分析
10.Comparison between Gamma Nail and DHS in Treatment of Intertrochanteric Fracture: A Meta-analysis;Gamma钉和DHS治疗股骨转子间骨折相比较的Meta分析
11.Creative Effect Analysis with DHS and Gamma Nail in Treating Intertrochanteric Fracture of the Femur in the ElderlyDHS与Gamma钉治疗老年股骨粗隆间骨折疗效分析
12.Testing for Varying Dispersion and Analysis of Sensitivity in Poisson-Gamma Models Based on Longitudinal Data;基于纵向数据的Poisson-Gamma模型的离差参数齐性检验及其影响分析
13.The Effect of Gamma Nails Treat for the Femoral Intertrochanteric Fractures of Aged PeopleGamma钉治疗老年患者股骨粗隆间骨折的临床疗效分析
14.Invasive treatment of intertrochanteric fracture using Gamma-3 nails:an evaluation of efficiency and complications采用Gamma-3髓内钉微创治疗股骨粗隆间骨折的疗效分析
15.Gamma Correction of HT190WG1-100;HT190WG1-100的GAMMA校正
16.light scattering profile[布面]光散射分布
17.The Light Curves and the Spectral Harness Ratios of Gamma-Ray Bursts;Gamma射线暴的光变曲线和谱硬度比
18.Weighted Simultaneous Approximation by the Linear Combinations of Gamma Operators;Gamma算子线性组合的加权同时逼近
相关短句/例句

Gamma-Gamma distributionGamma-Gamma分布
3)Gamma distributionGamma分布
1.In probability and mathematical statistics,Gamma distribution is a very important probability distribution,whose distribution density function has been derived in a few ways.在概率论与数理统计中,Gamma分布是一种很重要的概率分布,其密度函数已有几种推导方法。
2.It is capable of describing the video service in the case of scenery change, and its specific feature of Gamma distribution follows fairly well the bit rate of a VBR video service.该模型较理想地描述了场景切换下的视频业务模型,其Gamma分布特性较好地描述了VBR业务比特流的分布。
3.The main purpose of the thesis is choosing the most superior distribution among Normal distribution, Weibull distribution, Beta distribution and Gamma distribution when they are used for forecasting and fitting Pinus kesiya var.以思茅松天然次生林 3块样地资料为依据 ,对正态分布 ,Weibull分布 ,Beta分布 ,Gamma分布拟合及预测思茅松天然次生林直径分布的适用性进行分析、比较 ,选出最适合于拟合及预测该林分直径结构的分布 ,并用卡方统计量对 4种分布进行检验 ,结果表明 :Weibull分布描述思茅松天然次生林的直径分布效果最
4)Inv-Gamma distribution逆Gamma分布
5)inverse Gamma distribution倒Gamma分布
6)shifted-Gamma distributionshifted-Gamma分布
延伸阅读

Ga镓元素中文名:镓 原子量:69.735 熔点:9.78c 原子序数:31元素英文名: gallium 价电子:4p1 沸点:2403c 核外电子排布: 2,8,18,3元素符号: ga 英文名: gallium 中文名: 镓相对原子质量: 69.72 常见化合价: +3 电负性: 1.8外围电子排布: 4s2 4p1 核外电子排布: 2,8,18,3同位素及放射线: ga-66[9.5h] ga-67[3.3d] ga-68[1.1h] *ga-69 ga-71 ga-72[14.1h]电子亲合和能: 48 kj·mol-1第一电离能: 577.6 kj·mol-1 第二电离能: 1817 kj·mol-1 第三电离能: 2745 kj·mol-1单质密度: 5.907 g/cm3 单质熔点: 29.78 ℃ 单质沸点: 2403.0 ℃原子半径: 1.81 埃 离子半径: 0.62(+3) 埃 共价半径: 1.26 埃常见化合物: gao ga2o ga2o3发现人: 布瓦博德朗 时间: 1875 地点: 法国名称由来:拉丁文:gallia(法国)。元素描述:柔软的蓝白色金属。元素来源:见于地壳中的铝土岩、锗石和煤炭等矿产中。元素用途:用于半导体工业,制造led(发光二极管)和砷化镓激光二极管。