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似然函数

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We give several sufficient conditions of NA and NSD properties of random variables, compare the closeness of distribution functions of order statistics between NA and independent rv's, investigate properties of NSD defined by supermodular functions, study the dependence structure of stationary Markov process and order statistics and their spacings from two samples, establish stochastic comparisons of order statistics of heterogeneous rv's in the hazard rate and the reversed hazard rate orders, and give the first analytic proof of the closure property of the up shifted likelihood ratio order under convolution.

给出判定一组随机变量NA性质的几个充分条件,并给出NA和独立随机变量的次序统计量之间"贴近性"的比较,系统地研究基于特殊函数类所定义的NSD负相依概念,给出一些判别NSD性质的结构定理和一些有用概率不等式。系统研究平稳马氏过程的相依结构。研究两样本次序统计量及其问题隔的相依结构。在失效率、反向失效率序和似然序意义下给出非齐次随机变量次序统计量的比较。给出上漂移似然序卷积封闭性的第一个解析证明。

We use β likelihood estimation instead of maximum likelihood estimation to estimate the parameters of data's probability distribution function (modeled by Gaussian mixture models).

在确定数据所服从分布的密度函数的参数时,使用β似然估计来代替原模型中的最大似然估计。

The emphases is the improvement to the quondam algorithm, namely, the hybrid maximum-likelihood estimation algorithm based on the information of both CP and pilot subcarriers.

重点分析了将循环前缀与导频子载波的冗余信息相结合的算法,相应地对原有算法的似然函数也进行了改进。

In this note, a new approach is presented which calculates analytically the experiment estimator distribution via a Fourier transform, using the likelihood ratio as an ordering estimator. The analytic approach enjoys an enormous speed advantage over the toy Monte Carlo method, making it possible to quickly and precisely calculate confidence level results.

本文则介绍一种新的计算方法,通过定义似然函数比为实验的估计值,并应用Fourier变换,用解析的方法计算出置信度,与toy Monte Carlo方法相比,解析方法可极大地提高计算的速度和精度。

Criteria for model comparison were residual variance estimates, minus two log likelihood function, Akaike's information criterion, Bayesian information criterion, Bayesian factor, information-theoretic measure of model complexity, and percent relative reduction of complexity.

模型的统计标准有总剩余方差、似然函数对数值、Akaike信息尺度、贝叶斯信息准则、贝叶斯因子、模型复杂性尺度和复杂性相对下降率。

This paper puts forward a long memory stochastic conditional durations model for ultra-high frequency durations series,and provides a kind of spectrum likelihood estimation method.

文章针对股票市场的超高频持续期序列,提出了长记忆随机条件持续期模型,并给出了模型参数的极大谱似然函数估计方法。

The algorithm permutes and combines the measurement from each sensor using the rule of generalized S-D assignment algorithm, and all of measurements in each assignment are combined into one equivalent measurement.

该算法应用广义S-D分配的规则对每个传感器送来的观测数据进行排列组合以形成等效量测点,并计算所有等效量测点的联合似然函数

Especially when prognosticated data appear at the coda of transferred probability distribution or the likelihood function is far tight, general particle filter may be expired.

特别是当观测数据出现在转移概率分布的尾部或似然函数同转移概率分布相比过于集中时,一般的粒子滤波器可能失效。

A simple cuts method, combinedwith artificial neural network, is used to select signal. Fitted by binned maximumlikelihood method, the cross sections of single W leptonic and hadronic decaysare found to be 0.16〓±0.02 pb and 0.42± 0.12± 0.03 pb, respectively. Thetotal cross section of single W is 0.58±0.13 ±0.04 pb.

根据这些特征,我们采用简单CUTs和人工神经网络结合的方法,从大量的原始数据中挑选出单W事例,然后用最大似然函数法拟合单W轻子道和强子道的反应截面,结果分别为0.16〓士0.02pb和0.42士0.12土0.03 pb,其总截面为0.58士0.13±0.04 pb。

In order to study the effect of using maximum likelihood method on parameter identification of supermini rotating aerial vehicle, recursive maximum likelihood method was used to identify parameters of the models control function of remotepiloted controlling for unmanned aerial vehicle,and the maximum likelihood identification was introduced.

为了研究采用极大似然法进行飞行参数辨识的效果,利用递推极大似然法对超小型旋翼飞行器遥操作仿真模型控制函数的参数进行了辨识,对极大似然辨识的结果进行了动态性能分析和系统相对稳定性分析,并将其和用传统的最小二乘辨识的结果进行了对比。

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