搜索资源列表
polya_fit_ms
- 这是一个基于matlab语言的用极大似然估计法做的多项分布程序-This is a matlab-based language with maximum likelihood estimation method to do a number of distribution procedures
gamma_fit
- 这是一个基于matlab且运用极大似然估计法对伽马分布进行拟合-This is a matlab-based and the use of maximum likelihood estimation method for gamma distribution fitting
negbin_fit
- 运用matlab语言基于极大似然估计法对非负二项进行拟合的小程序-Matlab language use based on maximum likelihood estimation method for two non-negative small-fitting procedures
polya_fit
- 这是一个基于Polya分布、运用matlab语言和极大似然估计的一个程序-This is a based on the Polya distribution, the use of matlab language and Maximum Likelihood Estimation of a program
mixdist_0.5-2.tar
- 这个包里面含有利用极大似然估计方法来拟合成组数据和条件数据的有限混合分布模型的函数-Inside the bag containing the use of maximum likelihood estimation methods to be synthetic data set of data and conditions of the limited function of the mixed distribution model
timeseries
- 对平稳时间序列中的参数估计方法（包括矩估计，极大似然估计）和预测方法（包括差分方程预测方法，逆函数预测方法，格林函数预测方法）应用matlab进行编程，大家可以方便使用-For stationary time series in the parameter estimation methods (including moment estimation, maximum likelihood estimation) and forecas
emgmm
- 本程序是EM算法，是参数估计（极大似然估计）方法的数值解法。-This procedure is the EM algorithm, is the parameter estimation (MLE) method of numerical solution.
MATLAB
- OFDM系统同步中的定时估计算法，主要使用了极大似然估计法。此程序实现极大似然估计法定时的程序。-OFDM system, synchronization of timing estimation algorithm, the main use of maximum likelihood estimation method. Realize this procedure maximum likelihood estimation whe
200742149
- ：极值分布在计量经济学、金融工程、计算生物学、工程测量中都有用途，一般常用最小二乘法估计 其参数，但最小二乘法的误差较高．极大似然估计具有比最4 -乘法更好的性质，但由于它的计算往往比较麻 烦．通过极大似然法估计了极值分布的参数，同时给出了求参数的数值解的算法，并通过Matlab程序实现了 这一算法． -: Extreme value distribution in econometrics, financial eng
ModelIdentification
- 关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a de
EM.java.tar
- EM 算法是 Dempster，Laind，Rubin 于 1977 年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE 估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据，截尾数据，带有讨厌数据等所谓的不完全数据(incomplete data)。需要weka的算法包支持。-EM algorithm is Dempster, Laind, Rubin in 1977 for the p
MLE
- 极大似然估计是概率论中的重要思想，阅读此文献可以帮助我们了解极大似然估计的含义-Maximum likelihood estimation is important in probability theory thinking, reading this literature can help us understand the meaning of maximum likelihood estimation
ml
- 该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row
experiment1
- 模式识别实验验程序 极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
bayes-classsifier
- 该程序源码中包括了各种典型分布的二维数据的自动生成，二维概率密度函数的极大似然估计和窗函数估计，bayes分类器的设计和分类器错误率的多种方法估计-The program includes a variety of typical source distribution of the automatic generation of two-dimensional data, two-dimensional probability den
jidasiran
- matlab实现极大似然估计法定位无线传感器网络节点。-matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.
jidasiran
- 极大似然估计法定位，对于TDOA测距时进行的定位，简单源代码，有锚节点存在的节点自定位-Maximum likelihood estimate for localization
yubaocha
- 产生预报差和极大似然估计值估计参数的变化值并画出图线(The prediction error and maximum likelihood estimation are used to estimate the change values of parameters and draw lines.)
MLE
- 用matlab实现基于正态分布的极大似然估计(Realization of maximum likelihood estimation based on normal distribution)
copula 的极大似然估计
- 计算极大似然值copula，matlab代码(Calculate the maximum likelihood value)