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
Matlab-Fitting-Functions
- 附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、-M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There
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
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
G
- 实现了一个产生符合高斯分布的随机数发生器，并用最大似然估计法估算其方差及均值-Produced in line with the realization of a Gaussian distribution of the random number generator, and the maximum likelihood estimation method to estimate their variance and mean
cats_v3.1.2.tar
- 最大似然估计算法，应用于多参数模型，例如gps领域-Maximum likelihood estimation algorithm applied to multi-parameter model, for example, the field gps
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
garch_like
- Garch模型的最大似然估计方法，基于MATLAB程序。-Garch model of maximum likelihood estimation method, based on the MATLAB program.
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
maxlikehood_algorithm
- 最大似然估计分类算法的matlab实现，可以对需要分类的数据进行最大似然分类。-Classify using the maximum-likelyhood algorithm.Outputs is the Decision sufrace.
gg_mle
- 广义高斯概率分布函数的指数估计，包括矩估计和最大似然估计，并对这两种估计进行了比较-exponential cosfficients estimation for generalized Gaussian pdf，include moment estimator and Maximum Likehood estimator.
diffrentsnr
- 仿真雷达各种测角方法，包括最大似然估计、单脉冲法-monopusle estimation
02 最大似然法
- 基于matlab的最大似然估计方法，以一个多自由体系为例(Matlab based maximum likelihood estimation method, taking a multi freedom system as an example)
正态分布下的最大似然估计
- 以简单的举例来实现正态分布下的最大似然估计，并绘图进行对比(The maximum likelihood estimation method is used to estimate the bit error rate of information transmission. A simple example is given to realize the maximum likelihood estimation under norm
copula 的极大似然估计
- 计算极大似然值copula，matlab代码(Calculate the maximum likelihood value)