统计模型

GIS属性数据精度的缺陷率度量统计模型

Statistical Model of Rate of Disfigurement for Attribute Data Accuracy Assessment in GIS

基于MVC设计模式的动态电子政务Web统计模型

Dynamic Electronic Government Administration Web Statistical Model based on MVC Design Mode

幅度SAR图像海杂波统计模型分析

Statistical Characteristic Analysis of Sea Clutter Based on the Measured SAR Imagery

Panel数据模型是一类具有重要应用的线性统计模型，它在经济、金融、生物、医学等领域都有广泛的应用。

Panel data model is an important linear model in economics , finance , biology , medicines and other fields .

随机变量多重Weibull统计模型及参数最优估计

Multi-Weibull Statistical Model of Random Variables and Optimal Estimation of Its Parameters

使用HMM构建主元特征序列的统计模型。

HMM is employed to build the statistical model of the feature sequences .

隐马尔科夫模型（HiddenMarkovmodel，简记为HMM）作为一种统计模型，在模式识别与随机信号处理中有着广泛的应用。

As a statistics model , Hidden Markov Model ( HMM ) have been widely used in pattern recognition and stochastic signal processing .

该算法首先根据自然场景（如海面、场地和森林等）的统计模型产生相关的Gamma分布，得到场景的后向散射系数图；

At the first a correlated gamma-distributed RCS variable is generated according to the statistic model of natural scene .

HMM模型是一个处理非平稳时间序列的统计模型。

HMM ( Hidden Markov Model ) is a statistical Model for processing unstable time series .

HMM是一种基于Markov链的统计模型，由HMM训练和HMM识别两部分组成。

HMM is a statistical model based on Markov chain , being consisted of two stages : HMM training and HMM recognition .

介绍了用遥感统计模型计算NPP的方法，获得了一系列结果。

Using the processed annual NDVIs , the authors could estimate the NPP values from an experimental model .

对于这一问题，基于语音识别技术可以从待评价语音与参考模型以及参考语音的相似程度给以评价，也就使用HMM统计模型和特征对比的评分方法。

Based on speech recognition technology , evaluations could be given by calculating similarity of speech and reference speech or reference model .

将筛选出的植被指数与LAI建立了统计模型，反演了3个生育期的LAI，并进行了验证。

The statistical model was established between the selected index and LAI . Three growth stages LAI were inversed and verified .

首先对3-D脉冲相干成像激光雷达系统作了简单的介绍，并且给出了针对该激光雷达系统进行的理论分析，给出了被动红外成像单像素统计模型。

First this paper introduces a three-dimensional laser radar and analyses the laser radar system , then introduces the forward-looking infrared ( FLIR ) system and its single pixel statistics .

本文在基于数据的数学统计模型的基础上提出CF多元回归模型。

GIS based CF multi-variable regression model is put forward in this paper , since each landslide hazard analysis method has its own disadvantage .

根据人口估计的目标和使用的数据源不同，可以把基于RS和GIS的人口估计方法分成两大类：面插值方法和统计模型方法。

RS - and GIS-based population estimation methods can be divided into two categories in terms of the application goal and the required data information , i. e. areal interpolation and statistical modeling .

系统采用基于概率统计模型的GMMUBM结构，以LPC倒谱作为主要的话者特征矢量，并加入基音衍生参数以提高确认性能。

Which employs the probability-statistics-based GMM-UBM framework as speaker model and takes LPC cepstrum and pitch derived parameters as feature vectors .

为降低随机干扰因素对大坝位移观测数据的影响，针对大坝位移特性并基于Kalman滤波理论和统计模型建立了大坝水平位移的状态方程和观测方程。

Aimed at the displacement characteristic of the dam , based on the theory of Kalman filter , the state and observed equation of displacement on the basis of statistical model is established .

将这一统计模型运用到VaR的检验，具体指将金融资产在一段时间内的实际盈亏数据与VaR的预测值比较，以检验该模型下的VaR的有效性。

Applying this statistical model to VaR test , the real profit and loss data of financial asset is contrasted to the prediction in a period to test the validity of VaR.

分析了SAR图像在平稳小波变换域中的统计模型，推导出基于贝叶斯估计的信号最小均方误差（MMSE）的模糊萎缩因子。

The statistical model of wavelet coefficients is analyzed . A fuzzy shrinkage factor is derived based on the minimum mean square error ( MMSE ) criteria with Bayesian estimation .

本文提出了一种支持向量机（SVM）和概率统计模型相结合的中国人名自动识别方法。

This paper describes a hybrid model and the corresponding algorithm combining support vector machines ( SVM ) with statistical methods to improve the performance of SVM for the task of Chinese person names recognition .

隐MARKOV模型（HMM）是一种处理非平稳时间序列的统计模型，根据钢水浇铸振动信号的特点，作者提出把HMM应用于钢水振动信号的下渣识别。

HMM ( Hidden Markov Model ) is a statistical model for processing unstable time series . HMM was used to recognize slag based on liquid steel vibration signal in continuous casting .

最后比较了传统的基于SAR图像统计模型的滤波器和基于小波变换的滤波器在SAR图像去噪中的不同性能。

Finally , we make a comparison of the characteristics of the traditional filter based on the statistics of SAR image with those of the filter based on the wavelet transform in the process of SAR image denoising .

应用多元统计模型和logistic模型分析养殖户的养殖绩效和养殖户参与健康养殖模式的意愿，并得出影响农户参与健康养殖模式的因素。

By applying the multivariate statistical regression model and logistic regression model to analyze the cultivation performance and farmers ' participation desire in healthy cultivation model , we find out the influence factors of the farmers who participate in cultivation mode .

统计模型校验：用Tobit模型等统计模型对关键数据进行探查识别。

Statistical model check : To look over and recognize the key data with Tobit 's model such as statistical model .

获得了各土柱0～40cm深度土壤电导率关于地下水埋深、地下水矿化度的统计模型。

In order to evaluate the effect of groundwater table and salinity on EC 0 , a statistical model was built .

提出了一种改进的智能当前统计模型，针对目标跟踪中模型普遍存在非线性的问题对包括EKF、UKF、PF的几种非线性滤波算法进行了研究比较，进行了仿真实验和性能分析。

Aiming at the problems of nonlinear that target tracking commonly exists , several nonlinear filtering algorithms are comparatively studied and an improved intelligent current statistic model is proposed .

对于非线性系统中的机动目标跟踪问题，首先针对当前统计模型的缺陷提出了一种修正算法，然后应用转换测量Kalman滤波算法进行跟踪。

Considering the problem of the maneuvering target tracking in the nonlinear system , this paper first proposes a modified algorithm based on " current " statistical model . Then a converted measurement Kalman filter is applied to tracking the target .

本文详细讨论了具有代表性的PDA算法，IMM算法以及基于当前统计模型的均值与方差自适应算法和基于神经网络的卡尔曼滤波算法。

First , this paper particularly discuss PDA , IMM algorithm , adaptive algorithm of mean value and variance based on current statistical model , and Kalman filter algorithm based on Neural network .

提出了一种网络流量异常状态统计模型&混合二次网络状态G（X2，DKS，DKKS，DAKS）模型。

This paper presented a statistical model , mixed quadratic network state model G ( X2 , D_KS , D_KKS , D_AKS ) to detect abnormal network traffic .