搜索资源列表
常用最小二乘法估计极值分布
- ：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 engineering, computational biology, e
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 when the statutory procedures.
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 detailed explanation of examples
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 parameters proposed by maximum
mmm
- 递推的极大似然估计算法求解系统辨识问题，输入为M序列，噪声影响可调-The recursive maximum likelihood estimation algorithm for system identification problem
code2009
- 利用极大似然估计算法实现瞬时频率估计，主要采用c++语言实现-with the maximum likelihood estimation ，get instant frequence，it over with C++ code
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 vector or column vector
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 density function of the maximum l
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
copula_functions
- 利用极大似然估计估计出copula函数参数后，求解常见的copula函数的对数似然值。(After estimating the parameters of the copula function by using the MLE, the log likelihood values of the common Copula Functions are solved.)
chap4
- 极大似然参数辨识，以及递推的极大似然参数估计应用示例（加上有色噪声）。(Maximum likelihood parameter identification, and recursive maximum likelihood parameter estimation application examples (plus colored noise).)
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.)
univariate
- GARCH模型的matlab程序，使用最大似然估计方法进行参数估计(The matlab program of the GARCH model uses maximum likelihood estimation to estimate the parameters.)
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)
aoa
- 极大似然aoa-tof估计，极大似然估计信号到达角aoa-tof，仿真(Maximum likelihood AOA-TOF estimation, maximum likelihood estimation, AOA-TOF of signal, simulation)